executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
incredibly-fast-whisperIncredibly Fast Whisper | Audio Transcription. Transcribe audio files quickly with speaker diarization and multi-language support. Triggers: whisper, transcription, audio to text, speech to text, transcribe audio
Independent GitHub snapshot · Automated classification · Original documentation governs
Transcribe audio files with high speed using an optimized Whisper model. Supports multiple languages, speaker diarization, and word-level timestamps.
Requires an each::labs API key. Get one at eachlabs.ai.
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "incredibly-fast-whisper",
"version": "0.0.1",
"input": {
"audio": "https://example.com/podcast-episode.wav",
"language": "english",
"task": "transcribe",
"timestamp": "chunk"
}
}'
| Parameter | Type | Default | Description |
|---|---|---|---|
| audio | string | - | Audio file to transcribe |
| batch_size | integer | 24 | Batch size for processing |
| diarise_audio | boolean | false | Split conversation into segments by speaker |
| hf_token | string | - | HuggingFace API token for accessing private resources |
| language | string | None | Input language. enum: None (auto-detect), afrikaans, amharic, arabic, azerbaijani, belarusian, bosnian, breton, bulgarian, cantonese, catalan, chinese, croatian, czech, danish, dutch, english, estonian, finnish, french, german, hebrew, hindi, hungarian, italian, japanese, korean, lithuanian, macedonian, mongolian, myanmar, nepali, norwegian, polish, portuguese, romanian, russian, serbian, slovak, slovenian, spanish, swahili, swedish, tatar, telugu, turkish, ukrainian, welsh |
| task | string | transcribe | Task to perform. enum: transcribe |
| timestamp | string | chunk | Timestamp granularity. enum: chunk, word |
Transcribe with speaker diarization:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "incredibly-fast-whisper",
"version": "0.0.1",
"input": {
"audio": "https://example.com/interview.wav",
"language": "english",
"diarise_audio": true,
"timestamp": "word",
"batch_size": 24
}
}'
Auto-detect language transcription:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "incredibly-fast-whisper",
"version": "0.0.1",
"input": {
"audio": "https://example.com/foreign-audio.mp3",
"language": "None",
"task": "transcribe",
"timestamp": "chunk"
}
}'