Tool to transcribe audio into text in the same language as the audio. Use when you need to convert speech to text while preserving the original language. Supports multiple formats including mp3, mp4, wav, and webm.
fileRequiredobjectThe audio file to transcribe. Supported formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm.
modelstringModel ID for transcription. whisper-large-v3-turbo is faster, whisper-large-v3 may be more accurate.
promptstringOptional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.
languagestringLanguage of the input audio in ISO-639-1 format (e.g., 'en', 'es', 'fr'). Supplying this will improve accuracy and latency.
temperaturenumberSampling temperature between 0 and 1. Higher values (e.g., 0.8) make output more random, lower values (e.g., 0.2) make it more focused. If set to 0, model uses log probability to auto-adjust temperature.
response_formatstringOutput format. Use 'verbose_json' for timestamp information, 'json' for basic text, or 'text' for plain text output.
timestamp_granularitiesarrayTimestamp granularities to populate. Requires response_format='verbose_json'. Options: 'word' (adds latency), 'segment' (no additional latency). Can specify both.
dataRequiredData from the action execution
errorstringError if any occurred during the execution of the action
successfulRequiredbooleanWhether or not the action execution was successful or not
API key connection. Risk level 2 of 5.
Free Action
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