Announcements

We are excited to announce that AssemblyAI has once again been recognized as a High Performer and Momentum Leader in Voice Recognition for Spring 2022 on G2.com.

We’re excited to share that we’ve raised a $28M Series A led by Accel, with participation from a great group of investors including Y Combinator, John and Patrick Collison, Nat Friedman, and Daniel Gross.

This past weekend, AssemblyAI was a proud sponsor of DeltaHacks, an annual student-run hackathon at McMaster University.

The end of 2021 is almost upon us - and it’s been a good one here at AssemblyAI! Read on for a summary of all that’s happened in 2021 at AssemblyAI.

We are very excited to announce the release of our latest feature, Sentiment Analysis, a much awaited addition to our Speech-to-Text API. In this post, we’ll examine what the Sentiment Analysis feature does, how it works, how to use it, and some of the top use cases.

AssemblyAI is thrilled to announce two new G2 awards in the Voice Recognition Software category for Winter 2022: Momentum Leader and High Performer!

In this benchmark report, we compare our new v8 model architecture transcription accuracy between AssemblyAI, Google Cloud Speech-to-Text, and AWS Transcribe on a variety of audio use cases.

We are thrilled to announce the release of our latest feature for our Speech-to-Text API -- Entity Detection! As an introduction to this new feature, we’ll look at what exactly Entity Detection is, how it works, how to use it, and several use cases.

Today, we're excited to officially announce our newest feature at AssemblyAI - Auto Chapters. The Auto Chapters feature provides a "summary over time" for audio content transcribed with AssemblyAI's API.

This past weekend, AssemblyAI was a proud sponsor of HackDuke, an annual hackathon at Duke university, and HackUMBC, an annual hackathon at the University of Maryland.

This past weekend, AssemblyAI was a proud sponsor of Hack The Valley, an annual student-run hackathon at the University of Toronto. We saw a great turnout at the event with over 300 participants and 70+ projects built in just under 36 hours.

Today, we’re happy to release our most accurate Speech Recognition model to date - version 8 (v8). This updated model delivers up to 18.72% better accuracy across many types of audio.

Our deep learning research team is thrilled to announce the release of the latest version of AssemblyAI’s Topic Detection feature, version 4 (v4).

This past weekend, AssemblyAI was a proud sponsor of Sunhacks, an annual student-run hackathon at Arizona State University. We saw a great turnout at the event with close to 300 participants and 60+ projects built in just under 36 hours.

AssemblyAI's new real time Speech Recognition system has improved accuracy through new training and tokenization methods.

We’re excited to release a major accuracy improvement to our Topic Detection feature, which can accurately predict the topics spoken in audio/video files.

We have some exciting news! AssemblyAI has been named a G2 High Performer and Momentum Leader for Fall 2021 in recognition of its outstanding customer reviews and product reviews on G2.com.

On Tuesday, August 31st, AWS had an outage in their us-west-2 region. At 18:00 UTC that day, we experienced an increase in 5xx error codes returned by our API, as well as a slowdown in transcription turnaround time.

We're excited to launch an update to our Real-Time WebSocket Transcription API! This update improves both accuracy and latency for results streamed back from the API.

AssemblyAI Speech-to-Text API update includes the launch of Voice Search with Algolia, improved accuracy, and enhanced speed.

We are excited to make available our new List Endpoint! This gives developers the ability to query for, and paginate through, all of their historical transcriptions.

AssemblyAI's Speech-to-Text API now supports automatically detecting and redacting medical information, like drug names, injuries, and medical conditions, from transcription text!

AssemblyAI launches significant improvements to transcription accuracy, consistently out-benchmarking other providers like Google Cloud Speech-to-Text, and AWS Transcribe.

In this week's update, we released two new API endpoints that you can use to pull a completed transcript broken into paragraphs and sentences!

Automatically transcribe audio and video files, and surface sensitive content, such "Hate Speech" or "NSFW" content, found within the audio.