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Listen to this: Mabe Fratti’s experimental cello pop

Listen to this: Mabe Fratti’s experimental cello pop

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The opening notes of “Kravitz”, which kicks off Mabe Fratti’s 2024 record Sentir Que No Sabes, are lodged in my brain permanently. It’s not a showy album, by any means. But there’s something about the buzzing of her cello, plucked as you might an upright bass. The way they ring out before coming to an abrupt stop, fuzz still hanging in the air, set against a simple kick and snare sat firmly in the pocket. There’s something industrial about the way it all comes together, like a jazzy “Closer.”

Then come Fratti’s paranoid lyrics in Spanish about ears in the ceiling and someone listening through the walls, and the slightly atonal horn blasts. In the back half, the arrangement blooms with big piano chords, and the drums pick up steam. It’s the perfect opening to a record that sees Fratti taking her experimental impulses and working them into something that more closely resembles pop music, straying further from her avant-garde roots.

Fratti was born in Guatemala, but operates out of Mexico. She’s told Pitchfork that, as a child, her parents mostly played Christian and classical music around the house. But as a teen, she discovered Limewire and the works of experimental composers like György Ligeti. This more expansive, internet-fed musical diet is on display in tracks like “Pantalla Azul.” It flits about, toying with various styles from goth rock to new age, but always coming back to the strength of Fratti’s melodic instincts. Meanwhile, “Oidos” leans fully into chamber pop, with echoed cello stabs, plaintive trumpet, and what sounds like an autoharp.

Even when the arrangements are stripped down, Sentir Que No Sabes sounds lush and enveloping. It would feel equally at home in a coffee shop or on an arena stage. The production from I. La Católica (Héctor Tosta) is the glue holding together Fratti’s frantic stylistic shifts and jagged cello manipulations. It would be easy for the delicate horns, atonal pizzicato strings, and icy digital synths to sound like several different albums stitched together haphazardly. Instead, the undercurrent of unease and lightly crushed drums form a thread tying all the disparate pieces together.

That’s not to say there aren’t moments of full-on experimental freakouts. Fratti indulges her more abstract musical inclinations on interludes like “Elástica” I and II, but the brilliance of Sentir Que No Sabes is in how it repackages her experimental instincts into something more approachable and downright catchy at times.

A comparison often thrown around when discussing Fratti’s music is Arthur Russell, and it makes sense. Russel was also an avant-garde cellist with surprising pop instincts. But he rarely married those two sides of his music as directly as Fratti does. For the most part, he had pop songs, and he had experimental compositions. Over her last few albums, both as a solo artist and as one half of the duo Titanic, Mabe Fratti has sought to break down those walls.

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Indian serial entrepreneur Bhavin Turakhia is making a $30 million personal bet that there is still room for another enterprise AI company. His new venture, Neo, is built on a simple premise: workplace software designed before the AI era cannot simply be upgraded with chatbots — it has to be redesigned from the ground up.

Turakhia, 46, is no stranger to ambitious enterprise technology bets. Over the past two decades, he has co-founded companies including Directi, Radix, Titan, and banking software firm Zeta, largely backing them with his own cash before bringing in outside investors. He’s doing the same with Neo.

Turakhia told TechCrunch he is bootstrapping this much money because he believes AI marks a technology shift significant enough to justify rebuilding workplace software from scratch.

“If you want to build an iPhone, you can’t take the parts of a Nokia and somehow convert it into an iPhone,” he said.

Launched internally in April this year, Neo is an enterprise work platform that combines project management, documents, file storage, and AI into a single product. The goal, Turakhia said, is to make AI an active participant in day-to-day work rather than just another assistant employees turn to separately.

Turakhia argued most incumbents face a structural disadvantage when adding AI to products designed before generative AI. Neo, he said, was designed from the ground up for AI and is model-agnostic, allowing enterprises to switch between AI models rather than being tied to a single provider.

He’s not alone in thinking this way. Investor Chamath Palihapitiya initially launched enterprise AI coding venture 8090 with his own capital before raising a $135 million funding round this week.

Still, Turakhia’s bet comes as enterprise AI has emerged as one of the most competitive areas in technology. Microsoft, Google, and Salesforce are embedding AI across their workplace software. Meanwhile every startup from the giant labs like Anthropic and OpenAI, to the productivity companies like Notion and Superhuman are racing to reshape how businesses use AI in their daily workflow.

Turakhia argued enterprise software has never been a winner-takes-all market, saying even a small share of global enterprise AI spending would represent a sizeable company.

“Even if we end up with 2% to 5% market share, that’s larger than anything I’ve built so far,” he said.

For the past few months, Neo has been in internal use across Turakhia’s companies, including Zeta. The company plans to begin rolling out the software to mid-sized businesses in the coming months, initially targeting knowledge workers across technology, consulting, and professional services firms.

Turakhia said Neo’s initial platform was built in three months, with AI extensively used in the development process, work he estimates would have taken more than a year with a much larger engineering team before generative AI.

The Bengaluru-based startup currently employs about 45 people, including 18 engineers. Turakhia told TechCrunch that it expects to grow to around 100 employees by the end of the year, with most new hires focused on AI and software engineering.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Indian #tech #tycoon #bets #30M #money #build #alternative #Microsoft #Office #TechCrunchBhavin Turakhia,microsoft office,neo">Indian tech tycoon bets M of his own money to build AI alternative to Microsoft Office | TechCrunch Indian serial entrepreneur Bhavin Turakhia is making a million personal bet that there is still room for another enterprise AI company. His new venture, Neo, is built on a simple premise: workplace software designed before the AI era cannot simply be upgraded with chatbots — it has to be redesigned from the ground up. Turakhia, 46, is no stranger to ambitious enterprise technology bets. Over the past two decades, he has co-founded companies including Directi, Radix, Titan, and banking software firm Zeta, largely backing them with his own cash before bringing in outside investors. He’s doing the same with Neo. Turakhia told TechCrunch he is bootstrapping this much money because he believes AI marks a technology shift significant enough to justify rebuilding workplace software from scratch. “If you want to build an iPhone, you can’t take the parts of a Nokia and somehow convert it into an iPhone,” he said. Launched internally in April this year, Neo is an enterprise work platform that combines project management, documents, file storage, and AI into a single product. The goal, Turakhia said, is to make AI an active participant in day-to-day work rather than just another assistant employees turn to separately. Turakhia argued most incumbents face a structural disadvantage when adding AI to products designed before generative AI. Neo, he said, was designed from the ground up for AI and is model-agnostic, allowing enterprises to switch between AI models rather than being tied to a single provider. He’s not alone in thinking this way. Investor Chamath Palihapitiya initially launched enterprise AI coding venture 8090 with his own capital before raising a 5 million funding round this week. Still, Turakhia’s bet comes as enterprise AI has emerged as one of the most competitive areas in technology. Microsoft, Google, and Salesforce are embedding AI across their workplace software. Meanwhile every startup from the giant labs like Anthropic and OpenAI, to the productivity companies like Notion and Superhuman are racing to reshape how businesses use AI in their daily workflow. Turakhia argued enterprise software has never been a winner-takes-all market, saying even a small share of global enterprise AI spending would represent a sizeable company. “Even if we end up with 2% to 5% market share, that’s larger than anything I’ve built so far,” he said. For the past few months, Neo has been in internal use across Turakhia’s companies, including Zeta. The company plans to begin rolling out the software to mid-sized businesses in the coming months, initially targeting knowledge workers across technology, consulting, and professional services firms. Turakhia said Neo’s initial platform was built in three months, with AI extensively used in the development process, work he estimates would have taken more than a year with a much larger engineering team before generative AI. The Bengaluru-based startup currently employs about 45 people, including 18 engineers. Turakhia told TechCrunch that it expects to grow to around 100 employees by the end of the year, with most new hires focused on AI and software engineering. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Indian #tech #tycoon #bets #30M #money #build #alternative #Microsoft #Office #TechCrunchBhavin Turakhia,microsoft office,neo

Neo, is built on a simple premise: workplace software designed before the AI era cannot simply be upgraded with chatbots — it has to be redesigned from the ground up.

Turakhia, 46, is no stranger to ambitious enterprise technology bets. Over the past two decades, he has co-founded companies including Directi, Radix, Titan, and banking software firm Zeta, largely backing them with his own cash before bringing in outside investors. He’s doing the same with Neo.

Turakhia told TechCrunch he is bootstrapping this much money because he believes AI marks a technology shift significant enough to justify rebuilding workplace software from scratch.

“If you want to build an iPhone, you can’t take the parts of a Nokia and somehow convert it into an iPhone,” he said.

Launched internally in April this year, Neo is an enterprise work platform that combines project management, documents, file storage, and AI into a single product. The goal, Turakhia said, is to make AI an active participant in day-to-day work rather than just another assistant employees turn to separately.

Turakhia argued most incumbents face a structural disadvantage when adding AI to products designed before generative AI. Neo, he said, was designed from the ground up for AI and is model-agnostic, allowing enterprises to switch between AI models rather than being tied to a single provider.

He’s not alone in thinking this way. Investor Chamath Palihapitiya initially launched enterprise AI coding venture 8090 with his own capital before raising a $135 million funding round this week.

Still, Turakhia’s bet comes as enterprise AI has emerged as one of the most competitive areas in technology. Microsoft, Google, and Salesforce are embedding AI across their workplace software. Meanwhile every startup from the giant labs like Anthropic and OpenAI, to the productivity companies like Notion and Superhuman are racing to reshape how businesses use AI in their daily workflow.

Turakhia argued enterprise software has never been a winner-takes-all market, saying even a small share of global enterprise AI spending would represent a sizeable company.

“Even if we end up with 2% to 5% market share, that’s larger than anything I’ve built so far,” he said.

For the past few months, Neo has been in internal use across Turakhia’s companies, including Zeta. The company plans to begin rolling out the software to mid-sized businesses in the coming months, initially targeting knowledge workers across technology, consulting, and professional services firms.

Turakhia said Neo’s initial platform was built in three months, with AI extensively used in the development process, work he estimates would have taken more than a year with a much larger engineering team before generative AI.

The Bengaluru-based startup currently employs about 45 people, including 18 engineers. Turakhia told TechCrunch that it expects to grow to around 100 employees by the end of the year, with most new hires focused on AI and software engineering.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Indian #tech #tycoon #bets #30M #money #build #alternative #Microsoft #Office #TechCrunchBhavin Turakhia,microsoft office,neo">Indian tech tycoon bets $30M of his own money to build AI alternative to Microsoft Office | TechCrunch

Indian serial entrepreneur Bhavin Turakhia is making a $30 million personal bet that there is still room for another enterprise AI company. His new venture, Neo, is built on a simple premise: workplace software designed before the AI era cannot simply be upgraded with chatbots — it has to be redesigned from the ground up.

Turakhia, 46, is no stranger to ambitious enterprise technology bets. Over the past two decades, he has co-founded companies including Directi, Radix, Titan, and banking software firm Zeta, largely backing them with his own cash before bringing in outside investors. He’s doing the same with Neo.

Turakhia told TechCrunch he is bootstrapping this much money because he believes AI marks a technology shift significant enough to justify rebuilding workplace software from scratch.

“If you want to build an iPhone, you can’t take the parts of a Nokia and somehow convert it into an iPhone,” he said.

Launched internally in April this year, Neo is an enterprise work platform that combines project management, documents, file storage, and AI into a single product. The goal, Turakhia said, is to make AI an active participant in day-to-day work rather than just another assistant employees turn to separately.

Turakhia argued most incumbents face a structural disadvantage when adding AI to products designed before generative AI. Neo, he said, was designed from the ground up for AI and is model-agnostic, allowing enterprises to switch between AI models rather than being tied to a single provider.

He’s not alone in thinking this way. Investor Chamath Palihapitiya initially launched enterprise AI coding venture 8090 with his own capital before raising a $135 million funding round this week.

Still, Turakhia’s bet comes as enterprise AI has emerged as one of the most competitive areas in technology. Microsoft, Google, and Salesforce are embedding AI across their workplace software. Meanwhile every startup from the giant labs like Anthropic and OpenAI, to the productivity companies like Notion and Superhuman are racing to reshape how businesses use AI in their daily workflow.

Turakhia argued enterprise software has never been a winner-takes-all market, saying even a small share of global enterprise AI spending would represent a sizeable company.

“Even if we end up with 2% to 5% market share, that’s larger than anything I’ve built so far,” he said.

For the past few months, Neo has been in internal use across Turakhia’s companies, including Zeta. The company plans to begin rolling out the software to mid-sized businesses in the coming months, initially targeting knowledge workers across technology, consulting, and professional services firms.

Turakhia said Neo’s initial platform was built in three months, with AI extensively used in the development process, work he estimates would have taken more than a year with a much larger engineering team before generative AI.

The Bengaluru-based startup currently employs about 45 people, including 18 engineers. Turakhia told TechCrunch that it expects to grow to around 100 employees by the end of the year, with most new hires focused on AI and software engineering.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Indian #tech #tycoon #bets #30M #money #build #alternative #Microsoft #Office #TechCrunchBhavin Turakhia,microsoft office,neo
How Do You Get Started With Transkriptor?

To start with Transkriptor, it does not take more than 1 minute. You can sign up with Google, Microsoft, Apple, or email. Transkriptor leans on a row of recognizable logos, from Pfizer and Tesla to Harvard and Microsoft, to build your trust before using it.

Transkriptor offers a clean, easy-to-navigate dashboard with 5 ways to create a transcript. You can record live audio, upload a file, pull a video from YouTube, join a meeting, and import audio-video files from the cloud. A left rail holds the heavier tools, including text-to-speech, AI content generation, and a calendar for scheduled meetings. The core action is never more than one click; you get transcription without any technical difficulties.

How Accurate is Transkriptor at Converting Speech to Text?

Accuracy is the most important thing, and an honest answer is better than a flawless one. On clean English audio, meaning a single speaker in a quiet room, Transkriptor landed in the high-80s to low-90s percent range in my tests, which matches what independent reviewers report. If you upload a clean 30-minute file, it will take you only a few minutes to check for grammar mistakes, mostly punctuation marks.

I started testing the tool by uploading different audio and video files, and Transkriptor supports a wide range of formats, so I never had to convert the file before uploading.

Transkriptor Review: Is It the Best Speech-to-Text App? Manual transcription takes much time that most people do not have. I usually spend hours every week turning interviews and meetings into text, so I tried Transkriptor through a test to see if it could take notes and save me time. Transkriptor is an AI speech-to-text tool. It converts audio and video files into editable transcripts, and it supports 100+ languages. Over a week, I uploaded my clean and slightly messy recordings, ran them against accented audio, and also linked them to Zoom and Google Meet calls. Here is how Transkriptor does well, where it goes wrong, and who should use it.  How Do You Get Started With Transkriptor? To start with Transkriptor, it does not take more than 1 minute. You can sign up with Google, Microsoft, Apple, or email. Transkriptor leans on a row of recognizable logos, from Pfizer and Tesla to Harvard and Microsoft, to build your trust before using it. Transkriptor offers a clean, easy-to-navigate dashboard with 5 ways to create a transcript. You can record live audio, upload a file, pull a video from YouTube, join a meeting, and import audio-video files from the cloud. A left rail holds the heavier tools, including text-to-speech, AI content generation, and a calendar for scheduled meetings. The core action is never more than one click; you get transcription without any technical difficulties. How Accurate is Transkriptor at Converting Speech to Text? Accuracy is the most important thing, and an honest answer is better than a flawless one. On clean English audio, meaning a single speaker in a quiet room, Transkriptor landed in the high-80s to low-90s percent range in my tests, which matches what independent reviewers report. If you upload a clean 30-minute file, it will take you only a few minutes to check for grammar mistakes, mostly punctuation marks. I started testing the tool by uploading different audio and video files, and Transkriptor supports a wide range of formats, so I never had to convert the file before uploading. Audio with background noise and overlapping speakers leads to less accurate transcription. Also, non-native heavy accents reduced accuracy. Transkriptor supports 100+ languages and adds domain-specific vocabulary for medical, legal, and IT terms, which helped with a jargon-heavy recording, though non-English audio was less even than English. Transkriptor’s editor did the real work. Every line of transcription carries a timestamp and speaker label. You can play back the audio while reading the transcription to ensure everything is up to the point. Additionally, AI chat and summary let you pull a quick recap of the whole conversation. You get richer insights, such as sentiment analysis and speaker talk time, but it is locked behind the Team plan. Does Transkriptor Handle Zoom, Google Meet, and Teams Meetings? Yes, Transkriptor handles Zoom, Google Meet, and Teams meetings with ease. You paste the link to add a recording bot to the live call. Or you can connect your Google or Outlook calendar so Transkriptor auto-joins scheduled meetings. I connected my Google Calendar in 2 clicks and set it to auto-detect the platform and record the meeting. After each call, I got a transcript with speaker labels and an auto-generated summary with action items, which is exactly what a remote team wants from a note-taker. The bot-joins-the-call model is the same approach Otter uses, and Transkriptor matches it while supporting far more languages. What Does Transkriptor Cost, and How Does It Compare to Otter and Sonix? To get access to all features, you need to buy a Transkriptor subscription. It’s a limited free tier with a small daily allowance that lets you test it. Lite plan starts at .99 per month for 5 hours of transcription. Pro is .99 per month or .33 per month on annual billing (.99 a year) and unlocks 2,400 minutes per month with unlimited files.  Team runs per seat monthly, or per seat on annual billing (0 a year per seat), adding 3,000 minutes per seat, shared workspaces, call analysis, and custom vocabulary. A custom-priced Business tier is available for larger orgs. Transkriptor is also ISO 27001, SOC 2, and GDPR compliant, which matters for regulated work. Against the alternative transcription tools, Transkriptor lands in a useful middle ground. Otter is the polished meeting assistant with strong CRM sync, but it transcribes only 6 languages and caps your minutes. Sonix charges per hour and delivers the highest audio accuracy. Here is how the three line up. ToolEntry pricingLanguagesBest atWatch out forTranskriptor.99/mo, free tier available100+Files plus live meeting recordings in one toolAccuracy dips on noisy or accented audioOtterFree, then .33/mo annual6 languagesLive meeting notes and CRM syncFew languages, strict minute capsSonix per audio hour, pay as you go50+High accuracy on clean filesNo live meeting recording Who is Transkriptor Best For? With Transkriptor, you get a practical mix of transcription, meeting recording, AI summaries, and multilingual support. During my testing, Transkriptor handled clean audio and video files well and integrated smoothly with Zoom, Google Meet, and Teams. It made it easy to turn speech into readable meeting notes and summaries. While accuracy can vary with heavy background noise or challenging accents, the overall experience is reliable enough for most everyday transcription needs. The combination of 100+ language support, meeting integrations, and competitive pricing gives it a broader feature set than many alternatives. For students, journalists, podcasters, and remote teams working across multiple languages, Transkriptor is a capable and cost-effective speech-to-text solution. #Transkriptor #Review #SpeechtoText #AppAI

Audio with background noise and overlapping speakers leads to less accurate transcription. Also, non-native heavy accents reduced accuracy. Transkriptor supports 100+ languages and adds domain-specific vocabulary for medical, legal, and IT terms, which helped with a jargon-heavy recording, though non-English audio was less even than English.

Transkriptor’s editor did the real work. Every line of transcription carries a timestamp and speaker label. You can play back the audio while reading the transcription to ensure everything is up to the point. Additionally, AI chat and summary let you pull a quick recap of the whole conversation. You get richer insights, such as sentiment analysis and speaker talk time, but it is locked behind the Team plan.

Home page of transkriptor

Does Transkriptor Handle Zoom, Google Meet, and Teams Meetings?

Yes, Transkriptor handles Zoom, Google Meet, and Teams meetings with ease. You paste the link to add a recording bot to the live call. Or you can connect your Google or Outlook calendar so Transkriptor auto-joins scheduled meetings. I connected my Google Calendar in 2 clicks and set it to auto-detect the platform and record the meeting.

Live meeting section

After each call, I got a transcript with speaker labels and an auto-generated summary with action items, which is exactly what a remote team wants from a note-taker. The bot-joins-the-call model is the same approach Otter uses, and Transkriptor matches it while supporting far more languages.

What Does Transkriptor Cost, and How Does It Compare to Otter and Sonix?

To get access to all features, you need to buy a Transkriptor subscription. It’s a limited free tier with a small daily allowance that lets you test it. Lite plan starts at $9.99 per month for 5 hours of transcription. Pro is $19.99 per month or $8.33 per month on annual billing ($99.99 a year) and unlocks 2,400 minutes per month with unlimited files. 

Team runs $30 per seat monthly, or $20 per seat on annual billing ($240 a year per seat), adding 3,000 minutes per seat, shared workspaces, call analysis, and custom vocabulary. A custom-priced Business tier is available for larger orgs. Transkriptor is also ISO 27001, SOC 2, and GDPR compliant, which matters for regulated work.

Against the alternative transcription tools, Transkriptor lands in a useful middle ground. Otter is the polished meeting assistant with strong CRM sync, but it transcribes only 6 languages and caps your minutes. Sonix charges per hour and delivers the highest audio accuracy. Here is how the three line up.

ToolEntry pricingLanguagesBest atWatch out for
Transkriptor$9.99/mo, free tier available100+Files plus live meeting recordings in one toolAccuracy dips on noisy or accented audio
OtterFree, then $8.33/mo annual6 languagesLive meeting notes and CRM syncFew languages, strict minute caps
Sonix$10 per audio hour, pay as you go50+High accuracy on clean filesNo live meeting recording

Who is Transkriptor Best For?

With Transkriptor, you get a practical mix of transcription, meeting recording, AI summaries, and multilingual support. During my testing, Transkriptor handled clean audio and video files well and integrated smoothly with Zoom, Google Meet, and Teams. It made it easy to turn speech into readable meeting notes and summaries.

While accuracy can vary with heavy background noise or challenging accents, the overall experience is reliable enough for most everyday transcription needs. The combination of 100+ language support, meeting integrations, and competitive pricing gives it a broader feature set than many alternatives.

For students, journalists, podcasters, and remote teams working across multiple languages, Transkriptor is a capable and cost-effective speech-to-text solution.

#Transkriptor #Review #SpeechtoText #AppAI">Transkriptor Review: Is It the Best Speech-to-Text App? Manual transcription takes much time that most people do not have. I usually spend hours every week turning interviews and meetings into text, so I tried Transkriptor through a test to see if it could take notes and save me time. Transkriptor is an AI speech-to-text tool. It converts audio and video files into editable transcripts, and it supports 100+ languages. Over a week, I uploaded my clean and slightly messy recordings, ran them against accented audio, and also linked them to Zoom and Google Meet calls. Here is how Transkriptor does well, where it goes wrong, and who should use it.  How Do You Get Started With Transkriptor? To start with Transkriptor, it does not take more than 1 minute. You can sign up with Google, Microsoft, Apple, or email. Transkriptor leans on a row of recognizable logos, from Pfizer and Tesla to Harvard and Microsoft, to build your trust before using it. Transkriptor offers a clean, easy-to-navigate dashboard with 5 ways to create a transcript. You can record live audio, upload a file, pull a video from YouTube, join a meeting, and import audio-video files from the cloud. A left rail holds the heavier tools, including text-to-speech, AI content generation, and a calendar for scheduled meetings. The core action is never more than one click; you get transcription without any technical difficulties. How Accurate is Transkriptor at Converting Speech to Text? Accuracy is the most important thing, and an honest answer is better than a flawless one. On clean English audio, meaning a single speaker in a quiet room, Transkriptor landed in the high-80s to low-90s percent range in my tests, which matches what independent reviewers report. If you upload a clean 30-minute file, it will take you only a few minutes to check for grammar mistakes, mostly punctuation marks. I started testing the tool by uploading different audio and video files, and Transkriptor supports a wide range of formats, so I never had to convert the file before uploading. Audio with background noise and overlapping speakers leads to less accurate transcription. Also, non-native heavy accents reduced accuracy. Transkriptor supports 100+ languages and adds domain-specific vocabulary for medical, legal, and IT terms, which helped with a jargon-heavy recording, though non-English audio was less even than English. Transkriptor’s editor did the real work. Every line of transcription carries a timestamp and speaker label. You can play back the audio while reading the transcription to ensure everything is up to the point. Additionally, AI chat and summary let you pull a quick recap of the whole conversation. You get richer insights, such as sentiment analysis and speaker talk time, but it is locked behind the Team plan. Does Transkriptor Handle Zoom, Google Meet, and Teams Meetings? Yes, Transkriptor handles Zoom, Google Meet, and Teams meetings with ease. You paste the link to add a recording bot to the live call. Or you can connect your Google or Outlook calendar so Transkriptor auto-joins scheduled meetings. I connected my Google Calendar in 2 clicks and set it to auto-detect the platform and record the meeting. After each call, I got a transcript with speaker labels and an auto-generated summary with action items, which is exactly what a remote team wants from a note-taker. The bot-joins-the-call model is the same approach Otter uses, and Transkriptor matches it while supporting far more languages. What Does Transkriptor Cost, and How Does It Compare to Otter and Sonix? To get access to all features, you need to buy a Transkriptor subscription. It’s a limited free tier with a small daily allowance that lets you test it. Lite plan starts at .99 per month for 5 hours of transcription. Pro is .99 per month or .33 per month on annual billing (.99 a year) and unlocks 2,400 minutes per month with unlimited files.  Team runs per seat monthly, or per seat on annual billing (0 a year per seat), adding 3,000 minutes per seat, shared workspaces, call analysis, and custom vocabulary. A custom-priced Business tier is available for larger orgs. Transkriptor is also ISO 27001, SOC 2, and GDPR compliant, which matters for regulated work. Against the alternative transcription tools, Transkriptor lands in a useful middle ground. Otter is the polished meeting assistant with strong CRM sync, but it transcribes only 6 languages and caps your minutes. Sonix charges per hour and delivers the highest audio accuracy. Here is how the three line up. ToolEntry pricingLanguagesBest atWatch out forTranskriptor.99/mo, free tier available100+Files plus live meeting recordings in one toolAccuracy dips on noisy or accented audioOtterFree, then .33/mo annual6 languagesLive meeting notes and CRM syncFew languages, strict minute capsSonix per audio hour, pay as you go50+High accuracy on clean filesNo live meeting recording Who is Transkriptor Best For? With Transkriptor, you get a practical mix of transcription, meeting recording, AI summaries, and multilingual support. During my testing, Transkriptor handled clean audio and video files well and integrated smoothly with Zoom, Google Meet, and Teams. It made it easy to turn speech into readable meeting notes and summaries. While accuracy can vary with heavy background noise or challenging accents, the overall experience is reliable enough for most everyday transcription needs. The combination of 100+ language support, meeting integrations, and competitive pricing gives it a broader feature set than many alternatives. For students, journalists, podcasters, and remote teams working across multiple languages, Transkriptor is a capable and cost-effective speech-to-text solution. #Transkriptor #Review #SpeechtoText #AppAI

Transkriptor, it does not take more than 1 minute. You can sign up with Google, Microsoft, Apple, or email. Transkriptor leans on a row of recognizable logos, from Pfizer and Tesla to Harvard and Microsoft, to build your trust before using it.

Transkriptor offers a clean, easy-to-navigate dashboard with 5 ways to create a transcript. You can record live audio, upload a file, pull a video from YouTube, join a meeting, and import audio-video files from the cloud. A left rail holds the heavier tools, including text-to-speech, AI content generation, and a calendar for scheduled meetings. The core action is never more than one click; you get transcription without any technical difficulties.

How Accurate is Transkriptor at Converting Speech to Text?

Accuracy is the most important thing, and an honest answer is better than a flawless one. On clean English audio, meaning a single speaker in a quiet room, Transkriptor landed in the high-80s to low-90s percent range in my tests, which matches what independent reviewers report. If you upload a clean 30-minute file, it will take you only a few minutes to check for grammar mistakes, mostly punctuation marks.

I started testing the tool by uploading different audio and video files, and Transkriptor supports a wide range of formats, so I never had to convert the file before uploading.

Transkriptor Review: Is It the Best Speech-to-Text App? Manual transcription takes much time that most people do not have. I usually spend hours every week turning interviews and meetings into text, so I tried Transkriptor through a test to see if it could take notes and save me time. Transkriptor is an AI speech-to-text tool. It converts audio and video files into editable transcripts, and it supports 100+ languages. Over a week, I uploaded my clean and slightly messy recordings, ran them against accented audio, and also linked them to Zoom and Google Meet calls. Here is how Transkriptor does well, where it goes wrong, and who should use it.  How Do You Get Started With Transkriptor? To start with Transkriptor, it does not take more than 1 minute. You can sign up with Google, Microsoft, Apple, or email. Transkriptor leans on a row of recognizable logos, from Pfizer and Tesla to Harvard and Microsoft, to build your trust before using it. Transkriptor offers a clean, easy-to-navigate dashboard with 5 ways to create a transcript. You can record live audio, upload a file, pull a video from YouTube, join a meeting, and import audio-video files from the cloud. A left rail holds the heavier tools, including text-to-speech, AI content generation, and a calendar for scheduled meetings. The core action is never more than one click; you get transcription without any technical difficulties. How Accurate is Transkriptor at Converting Speech to Text? Accuracy is the most important thing, and an honest answer is better than a flawless one. On clean English audio, meaning a single speaker in a quiet room, Transkriptor landed in the high-80s to low-90s percent range in my tests, which matches what independent reviewers report. If you upload a clean 30-minute file, it will take you only a few minutes to check for grammar mistakes, mostly punctuation marks. I started testing the tool by uploading different audio and video files, and Transkriptor supports a wide range of formats, so I never had to convert the file before uploading. Audio with background noise and overlapping speakers leads to less accurate transcription. Also, non-native heavy accents reduced accuracy. Transkriptor supports 100+ languages and adds domain-specific vocabulary for medical, legal, and IT terms, which helped with a jargon-heavy recording, though non-English audio was less even than English. Transkriptor’s editor did the real work. Every line of transcription carries a timestamp and speaker label. You can play back the audio while reading the transcription to ensure everything is up to the point. Additionally, AI chat and summary let you pull a quick recap of the whole conversation. You get richer insights, such as sentiment analysis and speaker talk time, but it is locked behind the Team plan. Does Transkriptor Handle Zoom, Google Meet, and Teams Meetings? Yes, Transkriptor handles Zoom, Google Meet, and Teams meetings with ease. You paste the link to add a recording bot to the live call. Or you can connect your Google or Outlook calendar so Transkriptor auto-joins scheduled meetings. I connected my Google Calendar in 2 clicks and set it to auto-detect the platform and record the meeting. After each call, I got a transcript with speaker labels and an auto-generated summary with action items, which is exactly what a remote team wants from a note-taker. The bot-joins-the-call model is the same approach Otter uses, and Transkriptor matches it while supporting far more languages. What Does Transkriptor Cost, and How Does It Compare to Otter and Sonix? To get access to all features, you need to buy a Transkriptor subscription. It’s a limited free tier with a small daily allowance that lets you test it. Lite plan starts at .99 per month for 5 hours of transcription. Pro is .99 per month or .33 per month on annual billing (.99 a year) and unlocks 2,400 minutes per month with unlimited files.  Team runs per seat monthly, or per seat on annual billing (0 a year per seat), adding 3,000 minutes per seat, shared workspaces, call analysis, and custom vocabulary. A custom-priced Business tier is available for larger orgs. Transkriptor is also ISO 27001, SOC 2, and GDPR compliant, which matters for regulated work. Against the alternative transcription tools, Transkriptor lands in a useful middle ground. Otter is the polished meeting assistant with strong CRM sync, but it transcribes only 6 languages and caps your minutes. Sonix charges per hour and delivers the highest audio accuracy. Here is how the three line up. ToolEntry pricingLanguagesBest atWatch out forTranskriptor.99/mo, free tier available100+Files plus live meeting recordings in one toolAccuracy dips on noisy or accented audioOtterFree, then .33/mo annual6 languagesLive meeting notes and CRM syncFew languages, strict minute capsSonix per audio hour, pay as you go50+High accuracy on clean filesNo live meeting recording Who is Transkriptor Best For? With Transkriptor, you get a practical mix of transcription, meeting recording, AI summaries, and multilingual support. During my testing, Transkriptor handled clean audio and video files well and integrated smoothly with Zoom, Google Meet, and Teams. It made it easy to turn speech into readable meeting notes and summaries. While accuracy can vary with heavy background noise or challenging accents, the overall experience is reliable enough for most everyday transcription needs. The combination of 100+ language support, meeting integrations, and competitive pricing gives it a broader feature set than many alternatives. For students, journalists, podcasters, and remote teams working across multiple languages, Transkriptor is a capable and cost-effective speech-to-text solution. #Transkriptor #Review #SpeechtoText #AppAI

Audio with background noise and overlapping speakers leads to less accurate transcription. Also, non-native heavy accents reduced accuracy. Transkriptor supports 100+ languages and adds domain-specific vocabulary for medical, legal, and IT terms, which helped with a jargon-heavy recording, though non-English audio was less even than English.

Transkriptor’s editor did the real work. Every line of transcription carries a timestamp and speaker label. You can play back the audio while reading the transcription to ensure everything is up to the point. Additionally, AI chat and summary let you pull a quick recap of the whole conversation. You get richer insights, such as sentiment analysis and speaker talk time, but it is locked behind the Team plan.

Home page of transkriptor

Does Transkriptor Handle Zoom, Google Meet, and Teams Meetings?

Yes, Transkriptor handles Zoom, Google Meet, and Teams meetings with ease. You paste the link to add a recording bot to the live call. Or you can connect your Google or Outlook calendar so Transkriptor auto-joins scheduled meetings. I connected my Google Calendar in 2 clicks and set it to auto-detect the platform and record the meeting.

Live meeting section

After each call, I got a transcript with speaker labels and an auto-generated summary with action items, which is exactly what a remote team wants from a note-taker. The bot-joins-the-call model is the same approach Otter uses, and Transkriptor matches it while supporting far more languages.

What Does Transkriptor Cost, and How Does It Compare to Otter and Sonix?

To get access to all features, you need to buy a Transkriptor subscription. It’s a limited free tier with a small daily allowance that lets you test it. Lite plan starts at $9.99 per month for 5 hours of transcription. Pro is $19.99 per month or $8.33 per month on annual billing ($99.99 a year) and unlocks 2,400 minutes per month with unlimited files. 

Team runs $30 per seat monthly, or $20 per seat on annual billing ($240 a year per seat), adding 3,000 minutes per seat, shared workspaces, call analysis, and custom vocabulary. A custom-priced Business tier is available for larger orgs. Transkriptor is also ISO 27001, SOC 2, and GDPR compliant, which matters for regulated work.

Against the alternative transcription tools, Transkriptor lands in a useful middle ground. Otter is the polished meeting assistant with strong CRM sync, but it transcribes only 6 languages and caps your minutes. Sonix charges per hour and delivers the highest audio accuracy. Here is how the three line up.

ToolEntry pricingLanguagesBest atWatch out for
Transkriptor$9.99/mo, free tier available100+Files plus live meeting recordings in one toolAccuracy dips on noisy or accented audio
OtterFree, then $8.33/mo annual6 languagesLive meeting notes and CRM syncFew languages, strict minute caps
Sonix$10 per audio hour, pay as you go50+High accuracy on clean filesNo live meeting recording

Who is Transkriptor Best For?

With Transkriptor, you get a practical mix of transcription, meeting recording, AI summaries, and multilingual support. During my testing, Transkriptor handled clean audio and video files well and integrated smoothly with Zoom, Google Meet, and Teams. It made it easy to turn speech into readable meeting notes and summaries.

While accuracy can vary with heavy background noise or challenging accents, the overall experience is reliable enough for most everyday transcription needs. The combination of 100+ language support, meeting integrations, and competitive pricing gives it a broader feature set than many alternatives.

For students, journalists, podcasters, and remote teams working across multiple languages, Transkriptor is a capable and cost-effective speech-to-text solution.

#Transkriptor #Review #SpeechtoText #AppAI">Transkriptor Review: Is It the Best Speech-to-Text App?

Manual transcription takes much time that most people do not have. I usually spend hours every week turning interviews and meetings into text, so I tried Transkriptor through a test to see if it could take notes and save me time. Transkriptor is an AI speech-to-text tool. It converts audio and video files into editable transcripts, and it supports 100+ languages. Over a week, I uploaded my clean and slightly messy recordings, ran them against accented audio, and also linked them to Zoom and Google Meet calls.

Here is how Transkriptor does well, where it goes wrong, and who should use it. 

How Do You Get Started With Transkriptor?

To start with Transkriptor, it does not take more than 1 minute. You can sign up with Google, Microsoft, Apple, or email. Transkriptor leans on a row of recognizable logos, from Pfizer and Tesla to Harvard and Microsoft, to build your trust before using it.

Transkriptor offers a clean, easy-to-navigate dashboard with 5 ways to create a transcript. You can record live audio, upload a file, pull a video from YouTube, join a meeting, and import audio-video files from the cloud. A left rail holds the heavier tools, including text-to-speech, AI content generation, and a calendar for scheduled meetings. The core action is never more than one click; you get transcription without any technical difficulties.

How Accurate is Transkriptor at Converting Speech to Text?

Accuracy is the most important thing, and an honest answer is better than a flawless one. On clean English audio, meaning a single speaker in a quiet room, Transkriptor landed in the high-80s to low-90s percent range in my tests, which matches what independent reviewers report. If you upload a clean 30-minute file, it will take you only a few minutes to check for grammar mistakes, mostly punctuation marks.

I started testing the tool by uploading different audio and video files, and Transkriptor supports a wide range of formats, so I never had to convert the file before uploading.

Transkriptor Review: Is It the Best Speech-to-Text App? Manual transcription takes much time that most people do not have. I usually spend hours every week turning interviews and meetings into text, so I tried Transkriptor through a test to see if it could take notes and save me time. Transkriptor is an AI speech-to-text tool. It converts audio and video files into editable transcripts, and it supports 100+ languages. Over a week, I uploaded my clean and slightly messy recordings, ran them against accented audio, and also linked them to Zoom and Google Meet calls. Here is how Transkriptor does well, where it goes wrong, and who should use it.  How Do You Get Started With Transkriptor? To start with Transkriptor, it does not take more than 1 minute. You can sign up with Google, Microsoft, Apple, or email. Transkriptor leans on a row of recognizable logos, from Pfizer and Tesla to Harvard and Microsoft, to build your trust before using it. Transkriptor offers a clean, easy-to-navigate dashboard with 5 ways to create a transcript. You can record live audio, upload a file, pull a video from YouTube, join a meeting, and import audio-video files from the cloud. A left rail holds the heavier tools, including text-to-speech, AI content generation, and a calendar for scheduled meetings. The core action is never more than one click; you get transcription without any technical difficulties. How Accurate is Transkriptor at Converting Speech to Text? Accuracy is the most important thing, and an honest answer is better than a flawless one. On clean English audio, meaning a single speaker in a quiet room, Transkriptor landed in the high-80s to low-90s percent range in my tests, which matches what independent reviewers report. If you upload a clean 30-minute file, it will take you only a few minutes to check for grammar mistakes, mostly punctuation marks. I started testing the tool by uploading different audio and video files, and Transkriptor supports a wide range of formats, so I never had to convert the file before uploading. Audio with background noise and overlapping speakers leads to less accurate transcription. Also, non-native heavy accents reduced accuracy. Transkriptor supports 100+ languages and adds domain-specific vocabulary for medical, legal, and IT terms, which helped with a jargon-heavy recording, though non-English audio was less even than English. Transkriptor’s editor did the real work. Every line of transcription carries a timestamp and speaker label. You can play back the audio while reading the transcription to ensure everything is up to the point. Additionally, AI chat and summary let you pull a quick recap of the whole conversation. You get richer insights, such as sentiment analysis and speaker talk time, but it is locked behind the Team plan. Does Transkriptor Handle Zoom, Google Meet, and Teams Meetings? Yes, Transkriptor handles Zoom, Google Meet, and Teams meetings with ease. You paste the link to add a recording bot to the live call. Or you can connect your Google or Outlook calendar so Transkriptor auto-joins scheduled meetings. I connected my Google Calendar in 2 clicks and set it to auto-detect the platform and record the meeting. After each call, I got a transcript with speaker labels and an auto-generated summary with action items, which is exactly what a remote team wants from a note-taker. The bot-joins-the-call model is the same approach Otter uses, and Transkriptor matches it while supporting far more languages. What Does Transkriptor Cost, and How Does It Compare to Otter and Sonix? To get access to all features, you need to buy a Transkriptor subscription. It’s a limited free tier with a small daily allowance that lets you test it. Lite plan starts at .99 per month for 5 hours of transcription. Pro is .99 per month or .33 per month on annual billing (.99 a year) and unlocks 2,400 minutes per month with unlimited files.  Team runs per seat monthly, or per seat on annual billing (0 a year per seat), adding 3,000 minutes per seat, shared workspaces, call analysis, and custom vocabulary. A custom-priced Business tier is available for larger orgs. Transkriptor is also ISO 27001, SOC 2, and GDPR compliant, which matters for regulated work. Against the alternative transcription tools, Transkriptor lands in a useful middle ground. Otter is the polished meeting assistant with strong CRM sync, but it transcribes only 6 languages and caps your minutes. Sonix charges per hour and delivers the highest audio accuracy. Here is how the three line up. ToolEntry pricingLanguagesBest atWatch out forTranskriptor.99/mo, free tier available100+Files plus live meeting recordings in one toolAccuracy dips on noisy or accented audioOtterFree, then .33/mo annual6 languagesLive meeting notes and CRM syncFew languages, strict minute capsSonix per audio hour, pay as you go50+High accuracy on clean filesNo live meeting recording Who is Transkriptor Best For? With Transkriptor, you get a practical mix of transcription, meeting recording, AI summaries, and multilingual support. During my testing, Transkriptor handled clean audio and video files well and integrated smoothly with Zoom, Google Meet, and Teams. It made it easy to turn speech into readable meeting notes and summaries. While accuracy can vary with heavy background noise or challenging accents, the overall experience is reliable enough for most everyday transcription needs. The combination of 100+ language support, meeting integrations, and competitive pricing gives it a broader feature set than many alternatives. For students, journalists, podcasters, and remote teams working across multiple languages, Transkriptor is a capable and cost-effective speech-to-text solution. #Transkriptor #Review #SpeechtoText #AppAI

Audio with background noise and overlapping speakers leads to less accurate transcription. Also, non-native heavy accents reduced accuracy. Transkriptor supports 100+ languages and adds domain-specific vocabulary for medical, legal, and IT terms, which helped with a jargon-heavy recording, though non-English audio was less even than English.

Transkriptor’s editor did the real work. Every line of transcription carries a timestamp and speaker label. You can play back the audio while reading the transcription to ensure everything is up to the point. Additionally, AI chat and summary let you pull a quick recap of the whole conversation. You get richer insights, such as sentiment analysis and speaker talk time, but it is locked behind the Team plan.

Home page of transkriptor

Does Transkriptor Handle Zoom, Google Meet, and Teams Meetings?

Yes, Transkriptor handles Zoom, Google Meet, and Teams meetings with ease. You paste the link to add a recording bot to the live call. Or you can connect your Google or Outlook calendar so Transkriptor auto-joins scheduled meetings. I connected my Google Calendar in 2 clicks and set it to auto-detect the platform and record the meeting.

Live meeting section

After each call, I got a transcript with speaker labels and an auto-generated summary with action items, which is exactly what a remote team wants from a note-taker. The bot-joins-the-call model is the same approach Otter uses, and Transkriptor matches it while supporting far more languages.

What Does Transkriptor Cost, and How Does It Compare to Otter and Sonix?

To get access to all features, you need to buy a Transkriptor subscription. It’s a limited free tier with a small daily allowance that lets you test it. Lite plan starts at $9.99 per month for 5 hours of transcription. Pro is $19.99 per month or $8.33 per month on annual billing ($99.99 a year) and unlocks 2,400 minutes per month with unlimited files. 

Team runs $30 per seat monthly, or $20 per seat on annual billing ($240 a year per seat), adding 3,000 minutes per seat, shared workspaces, call analysis, and custom vocabulary. A custom-priced Business tier is available for larger orgs. Transkriptor is also ISO 27001, SOC 2, and GDPR compliant, which matters for regulated work.

Against the alternative transcription tools, Transkriptor lands in a useful middle ground. Otter is the polished meeting assistant with strong CRM sync, but it transcribes only 6 languages and caps your minutes. Sonix charges per hour and delivers the highest audio accuracy. Here is how the three line up.

ToolEntry pricingLanguagesBest atWatch out for
Transkriptor$9.99/mo, free tier available100+Files plus live meeting recordings in one toolAccuracy dips on noisy or accented audio
OtterFree, then $8.33/mo annual6 languagesLive meeting notes and CRM syncFew languages, strict minute caps
Sonix$10 per audio hour, pay as you go50+High accuracy on clean filesNo live meeting recording

Who is Transkriptor Best For?

With Transkriptor, you get a practical mix of transcription, meeting recording, AI summaries, and multilingual support. During my testing, Transkriptor handled clean audio and video files well and integrated smoothly with Zoom, Google Meet, and Teams. It made it easy to turn speech into readable meeting notes and summaries.

While accuracy can vary with heavy background noise or challenging accents, the overall experience is reliable enough for most everyday transcription needs. The combination of 100+ language support, meeting integrations, and competitive pricing gives it a broader feature set than many alternatives.

For students, journalists, podcasters, and remote teams working across multiple languages, Transkriptor is a capable and cost-effective speech-to-text solution.

#Transkriptor #Review #SpeechtoText #AppAI

reported across 17 states since early May, with close to two dozen people needing hospitalization as a result. The true toll of cases is almost certainly higher, though, and no clear food source behind these outbreaks has been identified as of yet.

Loud and explosive

Cyclosporiasis is caused by various species of the microscopic parasite Cyclospora, though it’s predominantly Cyclospora cayatenensis.

It usually takes about a week to feel sick after being infected, and the main symptom of cyclosporiasis, according to the Cleveland Clinic, is “loud, watery (explosive) diarrhea.” Joy. The infection can also cause fatigue, loss of appetite, and vomiting, though some people infected with the parasite are fortunate enough to avoid any symptoms at all. People generally feel better after a week or two without the need for treatment, though symptoms can last up to a month. While the infection is rarely fatal, people with weakened immune systems are more vulnerable to severe illness.

Cyclosporiasis is a nationally notifiable disease in 47 states, meaning doctors and testing labs are obligated to report any confirmed cases to their local or state health departments. According to the CDC, cases of cyclosporiasis in the U.S. tend to increase during the warmer months, and this year is no exception. Between May 1 and June 16, there have been 145 domestically acquired cases in 17 states reported to the CDC; of these, 20 people have been hospitalized, though no deaths have been recorded. There have also been 45 reported cases associated with travel (meaning they were likely infected outside of the U.S.).

As is often true for foodborne illness, however, there are probably a lot more hidden cases out there, since many infected people might not seek medical attention over their symptoms. Diagnosis is further complicated by the fact that routine stool testing for cyclosporiasis isn’t conducted in most labs, meaning doctors have to request specialized tests, and many people might not shed enough of the parasite in their poop to be detectable at first, often requiring multiple days of testing.

According to the CDC data, the biggest outbreak is currently in New York, which has reported somewhere between 31 and 80 cases, but it’s likely not the only state that needs to be worried.

“Local, state, and federal (CDC, FDA) public health authorities are investigating several clusters of cases in more than one state. Investigations to identify potential sources are ongoing,” the CDC reported in its latest update on June 18.

There already seem to be larger clusters of cyclosporiasis than currently documented by the CDC. On Tuesday, for instance, Michigan health officials reported that more than 150 cases have been seen in southeastern Michigan across several counties since June 22. A representative for Monroe County specifically told Gizmodo Wednesday that 90 cases have been documented in the county so far.

What to do

Cyclosporiasis is transmitted through eating food and water that’s been contaminated with infected poop, and outbreaks are often linked to produce. So far, no common sources of infection appear to have identified by the CDC or local heath departments for these latest clusters, but there are still steps you can take to lower your chances of contracting it.

The CDC recommends always washing your hands with soap and water before and after handling or preparing raw fruits and vegetables; washing all fruits and vegetables thoroughly under running water before eating, cutting, or cooking (if the produce is labeled prewashed, then you don’t need to do it again), and refrigerating cut, peeled, or cooked fruits and vegetables as soon as possible (within two hours if possible).

#Great #Parasite #Explosive #Diarrhea #Spreadingfoodborne illnesses,infectious diseases,outbreaks">Oh Great, a Parasite That Causes Explosive Diarrhea Is Spreading Right Now If there was one word you wouldn’t want to hear in front of the word “diarrhea,” it’d be “explosive.” Unfortunately, it’s a combination that some Americans are personally experiencing right now, thanks to ongoing outbreaks of a parasitic foodborne disease called cyclosporiasis. According to the Centers for the Disease Control and Prevention, there have been nearly 150 cases of cyclosporiasis reported across 17 states since early May, with close to two dozen people needing hospitalization as a result. The true toll of cases is almost certainly higher, though, and no clear food source behind these outbreaks has been identified as of yet. Loud and explosive Cyclosporiasis is caused by various species of the microscopic parasite Cyclospora, though it’s predominantly Cyclospora cayatenensis. It usually takes about a week to feel sick after being infected, and the main symptom of cyclosporiasis, according to the Cleveland Clinic, is “loud, watery (explosive) diarrhea.” Joy. The infection can also cause fatigue, loss of appetite, and vomiting, though some people infected with the parasite are fortunate enough to avoid any symptoms at all. People generally feel better after a week or two without the need for treatment, though symptoms can last up to a month. While the infection is rarely fatal, people with weakened immune systems are more vulnerable to severe illness. Cyclosporiasis is a nationally notifiable disease in 47 states, meaning doctors and testing labs are obligated to report any confirmed cases to their local or state health departments. According to the CDC, cases of cyclosporiasis in the U.S. tend to increase during the warmer months, and this year is no exception. Between May 1 and June 16, there have been 145 domestically acquired cases in 17 states reported to the CDC; of these, 20 people have been hospitalized, though no deaths have been recorded. There have also been 45 reported cases associated with travel (meaning they were likely infected outside of the U.S.). As is often true for foodborne illness, however, there are probably a lot more hidden cases out there, since many infected people might not seek medical attention over their symptoms. Diagnosis is further complicated by the fact that routine stool testing for cyclosporiasis isn’t conducted in most labs, meaning doctors have to request specialized tests, and many people might not shed enough of the parasite in their poop to be detectable at first, often requiring multiple days of testing. According to the CDC data, the biggest outbreak is currently in New York, which has reported somewhere between 31 and 80 cases, but it’s likely not the only state that needs to be worried. “Local, state, and federal (CDC, FDA) public health authorities are investigating several clusters of cases in more than one state. Investigations to identify potential sources are ongoing,” the CDC reported in its latest update on June 18. There already seem to be larger clusters of cyclosporiasis than currently documented by the CDC. On Tuesday, for instance, Michigan health officials reported that more than 150 cases have been seen in southeastern Michigan across several counties since June 22. A representative for Monroe County specifically told Gizmodo Wednesday that 90 cases have been documented in the county so far. What to do Cyclosporiasis is transmitted through eating food and water that’s been contaminated with infected poop, and outbreaks are often linked to produce. So far, no common sources of infection appear to have identified by the CDC or local heath departments for these latest clusters, but there are still steps you can take to lower your chances of contracting it. The CDC recommends always washing your hands with soap and water before and after handling or preparing raw fruits and vegetables; washing all fruits and vegetables thoroughly under running water before eating, cutting, or cooking (if the produce is labeled prewashed, then you don’t need to do it again), and refrigerating cut, peeled, or cooked fruits and vegetables as soon as possible (within two hours if possible). #Great #Parasite #Explosive #Diarrhea #Spreadingfoodborne illnesses,infectious diseases,outbreaks

reported across 17 states since early May, with close to two dozen people needing hospitalization as a result. The true toll of cases is almost certainly higher, though, and no clear food source behind these outbreaks has been identified as of yet.

Loud and explosive

Cyclosporiasis is caused by various species of the microscopic parasite Cyclospora, though it’s predominantly Cyclospora cayatenensis.

It usually takes about a week to feel sick after being infected, and the main symptom of cyclosporiasis, according to the Cleveland Clinic, is “loud, watery (explosive) diarrhea.” Joy. The infection can also cause fatigue, loss of appetite, and vomiting, though some people infected with the parasite are fortunate enough to avoid any symptoms at all. People generally feel better after a week or two without the need for treatment, though symptoms can last up to a month. While the infection is rarely fatal, people with weakened immune systems are more vulnerable to severe illness.

Cyclosporiasis is a nationally notifiable disease in 47 states, meaning doctors and testing labs are obligated to report any confirmed cases to their local or state health departments. According to the CDC, cases of cyclosporiasis in the U.S. tend to increase during the warmer months, and this year is no exception. Between May 1 and June 16, there have been 145 domestically acquired cases in 17 states reported to the CDC; of these, 20 people have been hospitalized, though no deaths have been recorded. There have also been 45 reported cases associated with travel (meaning they were likely infected outside of the U.S.).

As is often true for foodborne illness, however, there are probably a lot more hidden cases out there, since many infected people might not seek medical attention over their symptoms. Diagnosis is further complicated by the fact that routine stool testing for cyclosporiasis isn’t conducted in most labs, meaning doctors have to request specialized tests, and many people might not shed enough of the parasite in their poop to be detectable at first, often requiring multiple days of testing.

According to the CDC data, the biggest outbreak is currently in New York, which has reported somewhere between 31 and 80 cases, but it’s likely not the only state that needs to be worried.

“Local, state, and federal (CDC, FDA) public health authorities are investigating several clusters of cases in more than one state. Investigations to identify potential sources are ongoing,” the CDC reported in its latest update on June 18.

There already seem to be larger clusters of cyclosporiasis than currently documented by the CDC. On Tuesday, for instance, Michigan health officials reported that more than 150 cases have been seen in southeastern Michigan across several counties since June 22. A representative for Monroe County specifically told Gizmodo Wednesday that 90 cases have been documented in the county so far.

What to do

Cyclosporiasis is transmitted through eating food and water that’s been contaminated with infected poop, and outbreaks are often linked to produce. So far, no common sources of infection appear to have identified by the CDC or local heath departments for these latest clusters, but there are still steps you can take to lower your chances of contracting it.

The CDC recommends always washing your hands with soap and water before and after handling or preparing raw fruits and vegetables; washing all fruits and vegetables thoroughly under running water before eating, cutting, or cooking (if the produce is labeled prewashed, then you don’t need to do it again), and refrigerating cut, peeled, or cooked fruits and vegetables as soon as possible (within two hours if possible).

#Great #Parasite #Explosive #Diarrhea #Spreadingfoodborne illnesses,infectious diseases,outbreaks">Oh Great, a Parasite That Causes Explosive Diarrhea Is Spreading Right NowOh Great, a Parasite That Causes Explosive Diarrhea Is Spreading Right Now If there was one word you wouldn’t want to hear in front of the word “diarrhea,” it’d be “explosive.” Unfortunately, it’s a combination that some Americans are personally experiencing right now, thanks to ongoing outbreaks of a parasitic foodborne disease called cyclosporiasis. According to the Centers for the Disease Control and Prevention, there have been nearly 150 cases of cyclosporiasis reported across 17 states since early May, with close to two dozen people needing hospitalization as a result. The true toll of cases is almost certainly higher, though, and no clear food source behind these outbreaks has been identified as of yet. Loud and explosive Cyclosporiasis is caused by various species of the microscopic parasite Cyclospora, though it’s predominantly Cyclospora cayatenensis. It usually takes about a week to feel sick after being infected, and the main symptom of cyclosporiasis, according to the Cleveland Clinic, is “loud, watery (explosive) diarrhea.” Joy. The infection can also cause fatigue, loss of appetite, and vomiting, though some people infected with the parasite are fortunate enough to avoid any symptoms at all. People generally feel better after a week or two without the need for treatment, though symptoms can last up to a month. While the infection is rarely fatal, people with weakened immune systems are more vulnerable to severe illness. Cyclosporiasis is a nationally notifiable disease in 47 states, meaning doctors and testing labs are obligated to report any confirmed cases to their local or state health departments. According to the CDC, cases of cyclosporiasis in the U.S. tend to increase during the warmer months, and this year is no exception. Between May 1 and June 16, there have been 145 domestically acquired cases in 17 states reported to the CDC; of these, 20 people have been hospitalized, though no deaths have been recorded. There have also been 45 reported cases associated with travel (meaning they were likely infected outside of the U.S.). As is often true for foodborne illness, however, there are probably a lot more hidden cases out there, since many infected people might not seek medical attention over their symptoms. Diagnosis is further complicated by the fact that routine stool testing for cyclosporiasis isn’t conducted in most labs, meaning doctors have to request specialized tests, and many people might not shed enough of the parasite in their poop to be detectable at first, often requiring multiple days of testing. According to the CDC data, the biggest outbreak is currently in New York, which has reported somewhere between 31 and 80 cases, but it’s likely not the only state that needs to be worried. “Local, state, and federal (CDC, FDA) public health authorities are investigating several clusters of cases in more than one state. Investigations to identify potential sources are ongoing,” the CDC reported in its latest update on June 18. There already seem to be larger clusters of cyclosporiasis than currently documented by the CDC. On Tuesday, for instance, Michigan health officials reported that more than 150 cases have been seen in southeastern Michigan across several counties since June 22. A representative for Monroe County specifically told Gizmodo Wednesday that 90 cases have been documented in the county so far. What to do Cyclosporiasis is transmitted through eating food and water that’s been contaminated with infected poop, and outbreaks are often linked to produce. So far, no common sources of infection appear to have identified by the CDC or local heath departments for these latest clusters, but there are still steps you can take to lower your chances of contracting it. The CDC recommends always washing your hands with soap and water before and after handling or preparing raw fruits and vegetables; washing all fruits and vegetables thoroughly under running water before eating, cutting, or cooking (if the produce is labeled prewashed, then you don’t need to do it again), and refrigerating cut, peeled, or cooked fruits and vegetables as soon as possible (within two hours if possible). #Great #Parasite #Explosive #Diarrhea #Spreadingfoodborne illnesses,infectious diseases,outbreaks

If there was one word you wouldn’t want to hear in front of the word “diarrhea,” it’d be “explosive.” Unfortunately, it’s a combination that some Americans are personally experiencing right now, thanks to ongoing outbreaks of a parasitic foodborne disease called cyclosporiasis.

According to the Centers for the Disease Control and Prevention, there have been nearly 150 cases of cyclosporiasis reported across 17 states since early May, with close to two dozen people needing hospitalization as a result. The true toll of cases is almost certainly higher, though, and no clear food source behind these outbreaks has been identified as of yet.

Loud and explosive

Cyclosporiasis is caused by various species of the microscopic parasite Cyclospora, though it’s predominantly Cyclospora cayatenensis.

It usually takes about a week to feel sick after being infected, and the main symptom of cyclosporiasis, according to the Cleveland Clinic, is “loud, watery (explosive) diarrhea.” Joy. The infection can also cause fatigue, loss of appetite, and vomiting, though some people infected with the parasite are fortunate enough to avoid any symptoms at all. People generally feel better after a week or two without the need for treatment, though symptoms can last up to a month. While the infection is rarely fatal, people with weakened immune systems are more vulnerable to severe illness.

Cyclosporiasis is a nationally notifiable disease in 47 states, meaning doctors and testing labs are obligated to report any confirmed cases to their local or state health departments. According to the CDC, cases of cyclosporiasis in the U.S. tend to increase during the warmer months, and this year is no exception. Between May 1 and June 16, there have been 145 domestically acquired cases in 17 states reported to the CDC; of these, 20 people have been hospitalized, though no deaths have been recorded. There have also been 45 reported cases associated with travel (meaning they were likely infected outside of the U.S.).

As is often true for foodborne illness, however, there are probably a lot more hidden cases out there, since many infected people might not seek medical attention over their symptoms. Diagnosis is further complicated by the fact that routine stool testing for cyclosporiasis isn’t conducted in most labs, meaning doctors have to request specialized tests, and many people might not shed enough of the parasite in their poop to be detectable at first, often requiring multiple days of testing.

According to the CDC data, the biggest outbreak is currently in New York, which has reported somewhere between 31 and 80 cases, but it’s likely not the only state that needs to be worried.

“Local, state, and federal (CDC, FDA) public health authorities are investigating several clusters of cases in more than one state. Investigations to identify potential sources are ongoing,” the CDC reported in its latest update on June 18.

There already seem to be larger clusters of cyclosporiasis than currently documented by the CDC. On Tuesday, for instance, Michigan health officials reported that more than 150 cases have been seen in southeastern Michigan across several counties since June 22. A representative for Monroe County specifically told Gizmodo Wednesday that 90 cases have been documented in the county so far.

What to do

Cyclosporiasis is transmitted through eating food and water that’s been contaminated with infected poop, and outbreaks are often linked to produce. So far, no common sources of infection appear to have identified by the CDC or local heath departments for these latest clusters, but there are still steps you can take to lower your chances of contracting it.

The CDC recommends always washing your hands with soap and water before and after handling or preparing raw fruits and vegetables; washing all fruits and vegetables thoroughly under running water before eating, cutting, or cooking (if the produce is labeled prewashed, then you don’t need to do it again), and refrigerating cut, peeled, or cooked fruits and vegetables as soon as possible (within two hours if possible).

#Great #Parasite #Explosive #Diarrhea #Spreadingfoodborne illnesses,infectious diseases,outbreaks

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