gabrielmoreira Audio Tools
Use these tools to transcribe audio files to text using speech-to-text models.
audio_transcribe
Transcribe an audio file to text.
tai tool audio_transcribe --audio_path /path/to/meeting.m4a
tai tool audio_transcribe --audio_path /path/to/recording.wav --language en --provider llm.my-openai:whisper-1
| Parameter | Type | Required | Description |
|---|---|---|---|
| audio_path | string | yes | Audio file path. Supported: mp3, m4a, wav, webm, mp4, mpeg, mpga |
| language | string | no | ISO 639-1 language code (e.g. en, zh, ja). Auto-detected if omitted |
| provider | string | no | STT provider connector ID. If omitted, uses the default STT provider |
audio_providers
List available speech-to-text providers and models.
List STT providers (default):
tai tool audio_providers
| Parameter | Type | Required | Description |
|---|---|---|---|
| capability | string | no | Filter by capability (default: audio) |
Returns a list of providers with their available models and connector IDs that can be passed to audio_transcribe.
Constraints
Only use the parameters listed above for each tool. Do not pass unsupported parameters — they will be ignored or cause errors.