Transcribe and diarize audio files of multiple speakers and languages at blazing fast speeds.

• Over 100+ languages with mixed language support. View all supported languages
• Blazing fast transcription speeds (1hr 30mins of audio in 50 seconds)
• Automatically de-noise low-quality audio for better transcription
• Intelligent audio analysis for intent, sentiment, and more
• Speaker diarization up to 50 speakers. Learn more about speaker diarization

Basic audio transcription

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Blazing fast STT

Running STT as a single task with <task>speech_to_text</task> in the system message makes it significantly faster and cheaper with a fixed structured output that's pre-defined.

Learn more about running a task.

Note how the URL is passed in the prompt instead of in the file object. This is another way to pass files to the model which has a marginal speed increase.

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Audio translation

Translate any audio or text to over 100+ languages while maintaining the original meaning and context.

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You can reference the precontext to get the raw results from the model for both the STT and translation processes.

Noisy bad quality audio transcription

Automatically de-noise low-quality enhance audio for better transcription.

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Audio summary and understanding

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Long audio transcription (1hr+)

To get the best performance with long audio file is to use run task with the <task>speech_to_text</task> in the system prompt, this only activates a part of the model used for audio.

This took 50s to transcribe a 1hr and 35min audio file.

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The output is truncated for this example.

Speaker diarization

Check out how to perform speaker diarization here.