Core Transcription
AI models to accurately convert audio files, video files, and live audio streams into text at scale.
Audio Intelligence
AI models to summarize speech, detect hateful content, spoken topics, and more.
LeMUR
Introducing LeMUR, our new framework for applying powerful LLMs to transcribed speech
Featured Resources
Introducing LeMURannouncements
With a single line of code, LeMUR can quickly process audio transcripts for up to 10 hours worth of audio content, which effectively translates into ~150k tokens, for tasks like summarization and question answer.
Introducing Conformer-1announcements
We've released our new Conformer-1 model for speech recognition. Conformer-1 was trained on 650K hours of audio data and is our most accurate model to date.
How ChatGPT actually worksblog
Since its release, the public has been playing with ChatGPT and seeing what it can do, but how does ChatGPT actually work?
VIRTUAL MEETINGS
Learn more about how the AssemblyAI API can transcribe and analyze virtual meeting recordings from industry-wide platforms.
Virtual Meetings services trust AssemblyAI. Join them.
CASE STUDY
Milk Video, a video marketing platform, uses AssemblyAI's features such as async transcription, entity detection, and auto chapters to document key insights and extract action items from virtual meetings.
Contact salesWe needed speed, quality, low cost, and support. AssemblyAI won on all these fronts.
Leonard Bogdonoff/Co-Founder, Milk Video
In this benchmark report, we compare transcription accuracy between AssemblyAI, Google Cloud Speech-to-Text, and AWS Transcribe on Zoom Meeting Recordings.
Joe Zaghloul
Sales