Models

Pulse pre-recorded STT accepts language=auto. The spoken language is detected from a few short samples of the audio, and the file is transcribed with that language’s model.

The response adds detected_language, language_confidence and mixed_language_detected. One language is chosen per file; if a file mixes languages served by different models, the dominant one is used and mixed_language_detected is true.

When detection can’t give a reliable answer, the request fails with an error rather than a transcript in the wrong language: NO_SPEECH_DETECTED, LANGUAGE_DETECTION_LOW_CONFIDENCE (also returned for audio with no identifiable language, such as music or noise), DETECTED_LANGUAGE_NOT_SUPPORTED, or LANGUAGE_NOT_ENABLED_IN_REGION with the detected language. If language detection itself is temporarily unavailable, the request returns 503 LID_UNAVAILABLE. On any of these errors, retry with language set explicitly.

Endpoint: POST https://api.us.smallest.ai/waves/v1/stt/?model=pulse&language=auto. US region only during the beta; not available on pulse-pro or streaming.

Limitations during the beta

• Short clips are less reliable. Detection works best with at least about 10 seconds of speech. On clips of a few seconds it is more often wrong or returns LANGUAGE_DETECTION_LOW_CONFIDENCE. If you know the language of short clips, pass it explicitly.
• Detection adds a step before transcription. It runs before the file is queued, so auto requests take slightly longer than the same request with an explicit language.