awesome-genmedia Whisper
Transcribe audio files using the Whisper large model. Supports 50+ languages, optional speaker diarization, word/segment-level chunking, and translation to English. Built on the Whisper large v3 variant.
Quick Start
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": "whisper",
"version": "0.0.1",
"input": {
"audio_url": "https://example.com/podcast.mp3",
"task": "transcribe",
"language": "en",
"chunk_level": "segment"
}
}'
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| audio_url | string | - | URL of the audio file to transcribe. Supported formats: mp3, mp4, mpeg, mpga, m4a, wav, webm. |
| batch_size | integer | 64 | Batch size for processing. |
| chunk_level | string | segment | Level of chunks to return. Options: none, segment, word |
| diarize | boolean | false | Whether to diarize the audio file. Setting to true adds speaker labels. |
| language | string | - | Language of the audio file. Supports 50+ language codes (e.g., en, es, fr, de, ja, zh). |
| num_speakers | integer | - | Number of speakers in the audio file. If not provided, auto-detected. |
| prompt | string | - | Prompt to use for generation. |
| task | string | transcribe | Task to perform. Options: transcribe, translate |
| version | string | 3 | Version of the model to use. Options: 3 |
Examples
Basic transcription:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "whisper",
"version": "0.0.1",
"input": {
"audio_url": "https://example.com/meeting-recording.mp3"
}
}'
Word-level transcription with diarization:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "whisper",
"version": "0.0.1",
"input": {
"audio_url": "https://example.com/interview.wav",
"chunk_level": "word",
"diarize": true,
"num_speakers": 2,
"language": "en"
}
}'
Translate foreign audio to English:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "whisper",
"version": "0.0.1",
"input": {
"audio_url": "https://example.com/german-lecture.mp3",
"task": "translate",
"language": "de",
"chunk_level": "segment"
}
}'
Related Models
- Whisper Diarization - Dedicated speaker diarization model
- Wizper with Timestamp - Transcription with detailed timestamps