Transcribe

Type: openai.audio.Transcribe

Namespace: openai.audio

Description

Converts speech to text using OpenAI’s speech-to-text API. audio, transcription, speech-to-text, stt, whisper

Use cases:
- Generate accurate transcriptions of audio content
- Create searchable text from audio recordings
- Support multiple languages for transcription
- Enable automated subtitling and captioning

Properties

Property Type Description Default
model Enum['whisper-1', 'gpt-4o-transcribe', 'gpt-4o-mini-transcribe'] The model to use for transcription. whisper-1
audio audio The audio file to transcribe (max 25 MB). {'type': 'audio', 'uri': '', 'asset_id': None, 'data': None}
language Enum['auto_detect', 'spanish', 'italian', 'korean', 'portuguese', 'english', 'japanese', 'german', 'russian', 'dutch', 'polish', 'catalan', 'french', 'indonesian', 'ukrainian', 'turkish', 'malay', 'swedish', 'mandarin', 'finnish', 'norwegian', 'romanian', 'thai', 'vietnamese', 'slovak', 'arabic', 'czech', 'croatian', 'greek', 'serbian', 'danish', 'bulgarian', 'hungarian', 'filipino', 'bosnian', 'galician', 'macedonian', 'hindi', 'estonian', 'slovenian', 'tamil', 'latvian', 'azerbaijani', 'urdu', 'lithuanian', 'hebrew', 'welsh', 'persian', 'icelandic', 'kazakh', 'afrikaans', 'kannada', 'marathi', 'swahili', 'telugu', 'maori', 'nepali', 'armenian', 'belarusian', 'gujarati', 'punjabi', 'bengali'] The language of the input audio auto_detect
timestamps bool Whether to return timestamps for the generated text. False
prompt str Optional text to guide the model’s style or continue a previous audio segment. ``
temperature float The sampling temperature between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. 0

Outputs

Output Type Description
text str  
words List[audio_chunk]  
segments List[audio_chunk]  

Metadata

Browse other nodes in the openai.audio namespace.