`pascal-transcribe`

Speech-to-text. $0.18 per audio hour, or $0.20 per audio hour with speaker diarization, plus the $0.05 request fee.

Native waveform: Accepts common audio containers. Language auto or a Whisper code.. Live price and availability are on GET /v1/models/pascal-transcribe.

The result is text. When timestamp_granularity is segment, segments contain start, end, and text. speaker is included on each segment only when speaker_diarization is true.
The result does not include language, duration, or an utterance id.
The field name is speaker_diarization. diarize is rejected.
emotion, accent, deepfake, and PII fields are rejected.
Hosted model. The studio signup credit can spend it.
The file must be under 80 MB.

Parameters

Field	Type	Description
`params.language` Default auto	string	ISO 639-1 code. auto detects the language. ['af', 'am', 'ar', 'as', 'az', 'ba', 'be', 'bg', 'bn', 'bo', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'es', 'et', 'eu', 'fa', 'fi', 'fo', 'fr', 'gl', 'gu', 'ha', 'haw', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jw', 'ka', 'kk', 'km', 'kn', 'ko', 'la', 'lb', 'ln', 'lo', 'lt', 'lv', 'mg', 'mi', 'mk', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'nn', 'no', 'oc', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'sn', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tk', 'tl', 'tr', 'tt', 'uk', 'ur', 'uz', 'vi', 'yi', 'yo', 'yue', 'zh']
`params.speaker_diarization` Default false	boolean	Label each segment with a speaker number. When true, the audio is billed at $0.20 per hour.
`params.custom_terms`	string or array	Names and jargon to bias the transcript. A comma-separated string or a list of strings. At most 1000 terms and 8000 characters.
`params.timestamp_granularity` Default none	string	none returns text only. segment also returns segments, each with start, end, and text, in seconds.

Example

curl https://api.pascalai.co/v1/speech-to-text \
  -H "Authorization: Bearer $PASCAL_API_KEY" \
  -H "Idempotency-Key: $(uuidgen)" \
  -F model=pascal-transcribe \
  -F params='{"language":"auto","speaker_diarization":false,"custom_terms":"Pascal, Saarika","timestamp_granularity":"none"}' \
  -F file=@input.wav

curl https://api.pascalai.co/v1/speech-to-text/$JOB_ID \
  -H "Authorization: Bearer $PASCAL_API_KEY"