AI models to accurately convert audio files, video files, and live audio streams into text at scale.
AI models to summarize speech, detect hateful content, spoken topics, and more.
Introducing LeMUR, our new framework for applying powerful LLMs to transcribed speech
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.
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?
Learn more about how the AssemblyAI API can power innovative features equipped for telephony solutions.
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Call Tracking, Contact Center, and other Cloud Phone Solutions require high accuracy and intelligent features to unlock more from their call recordings.Contact sales
We were pleasantly surprised to find that AssemblyAI is the most accurate call transcription software on the market today. The upgrade has already been a huge success.
Jeremy Helms/Co-Founder, WhatConverts
We look at 5 different earning calls from various companies, and review how accurately AssemblyAI, AWS Transcribe, and Google Speech-to-Text are able to automatically transcribe these recordings.