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wizper-with-timestamp

wizper-with-timestamp

Wizper with Timestamp. Transcribe audio with word/segment-level timestamps. Triggers: transcription, speech to text, audio transcribe, timestamps, whisper

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GitHub

name: wizper-with-timestamp description: "Wizper with Timestamp. Transcribe audio with word/segment-level timestamps. Triggers: transcription, speech to text, audio transcribe, timestamps, whisper" allowed-tools: Bash(curl *), WebFetch

Wizper with Timestamp

Transcribe audio files with detailed timestamps at segment or word level. Supports over 50 languages, translation to English, and configurable segment lengths. Built on the Whisper large model variants.

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": "wizper-with-timestamp",
    "version": "0.0.1",
    "input": {
      "audio_url": "https://example.com/interview.mp3",
      "chunk_level": "segment",
      "task": "transcribe",
      "language": "en"
    }
  }'

Parameters

ParameterTypeDefaultDescription
audio_urlstring-URL of the audio file to transcribe. Supported formats: mp3, mp4, mpeg, mpga, m4a, wav, webm.
chunk_levelstringsegmentLevel of the chunks to return.
languagestring-Language of the audio file. Supports 50+ language codes (e.g., en, es, fr, de, ja, zh).
max_segment_leninteger29Maximum speech segment duration in seconds before splitting.
merge_chunksbooleantrueWhether to merge consecutive chunks.
taskstringtranscribeTask to perform. Options: transcribe, translate
versionstring3Version of the model to use. All models are the Whisper large variant.

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": "wizper-with-timestamp",
    "version": "0.0.1",
    "input": {
      "audio_url": "https://example.com/podcast-episode.mp3"
    }
  }'

Translate foreign audio to English with short segments:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "wizper-with-timestamp",
    "version": "0.0.1",
    "input": {
      "audio_url": "https://example.com/french-interview.mp3",
      "task": "translate",
      "language": "fr",
      "max_segment_len": 15,
      "merge_chunks": false
    }
  }'

Japanese audio transcription:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "wizper-with-timestamp",
    "version": "0.0.1",
    "input": {
      "audio_url": "https://example.com/japanese-speech.wav",
      "language": "ja",
      "chunk_level": "segment",
      "max_segment_len": 20
    }
  }'

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