Start now for free


Conformer-1 now available for Real-Time transcription, new Speaker Labels parameter, and more

We're excited to announce that our new Conformer-1 Speech Recognition model is now available for real-time English transcriptions, offering a 24.3% relative accuracy improvement.

Effective immediately, this state-of-the-art model will be the default model for all English audio data sent to the wss:// WebSocket API.

The Speaker Labels model now accepts a new optional parameter called speakers_expected. If you have high confidence in the number of speakers in an audio file, then you can specify it with speakers_expected in order to improve Speaker Labels performance, particularly for short utterances.

TLS 1.3 is now available for use with the AssemblyAI API. Using TLS 1.3 can decrease latency when establishing a connection to the API.

Our PII redaction scaling has been improved to increase stability, particularly when processing longer files.

We've improved the quality and accuracy of our Japanese model.

Short transcripts that are unable to be summarized will now return an empty summary and a successful transcript.