EachLabs Voice & Audio

Text-to-speech, speech-to-text transcription, voice conversion, and audio utilities via the EachLabs Predictions API.

Authentication

Header: X-API-Key: <your-api-key>

Set the EACHLABS_API_KEY environment variable. Get your key at eachlabs.ai.

Available Models

Text-to-Speech

| Model | Slug | Best For | |-------|------|----------| | ElevenLabs TTS | elevenlabs-text-to-speech | High quality TTS | | ElevenLabs TTS w/ Timestamps | elevenlabs-text-to-speech-with-timestamp | TTS with word timing | | ElevenLabs Text to Dialogue | elevenlabs-text-to-dialogue | Multi-speaker dialogue | | ElevenLabs Sound Effects | elevenlabs-sound-effects | Sound effect generation | | ElevenLabs Voice Design v2 | elevenlabs-voice-design-v2 | Custom voice design | | Kling V1 TTS | kling-v1-tts | Kling text-to-speech | | Kokoro 82M | kokoro-82m | Lightweight TTS | | Play AI Dialog | play-ai-text-to-speech-dialog | Dialog TTS | | Stable Audio 2.5 | stable-audio-2-5-text-to-audio | Text to audio |

Speech-to-Text

| Model | Slug | Best For | |-------|------|----------| | ElevenLabs Scribe v2 | elevenlabs-speech-to-text-scribe-v2 | Best quality transcription | | ElevenLabs STT | elevenlabs-speech-to-text | Standard transcription | | Wizper with Timestamp | wizper-with-timestamp | Timestamped transcription | | Wizper | wizper | Basic transcription | | Whisper | whisper | Open-source transcription | | Whisper Diarization | whisper-diarization | Speaker identification | | Incredibly Fast Whisper | incredibly-fast-whisper | Fastest transcription |

Voice Conversion & Cloning

| Model | Slug | Best For | |-------|------|----------| | RVC v2 | rvc-v2 | Voice conversion | | Train RVC | train-rvc | Train custom voice model | | ElevenLabs Voice Clone | elevenlabs-voice-clone | Voice cloning | | ElevenLabs Voice Changer | elevenlabs-voice-changer | Voice transformation | | ElevenLabs Voice Design v3 | elevenlabs-voice-design-v3 | Advanced voice design | | ElevenLabs Dubbing | elevenlabs-dubbing | Video dubbing | | Chatterbox S2S | chatterbox-speech-to-speech | Speech to speech | | Open Voice | openvoice | Open-source voice clone | | XTTS v2 | xtts-v2 | Multi-language voice clone | | Stable Audio 2.5 Inpaint | stable-audio-2-5-inpaint | Audio inpainting | | Stable Audio 2.5 A2A | stable-audio-2-5-audio-to-audio | Audio transformation | | Audio Trimmer | audio-trimmer-with-fade | Audio trimming with fade |

Audio Utilities

| Model | Slug | Best For | |-------|------|----------| | FFmpeg Merge Audio Video | ffmpeg-api-merge-audio-video | Merge audio with video | | Toolkit Video Convert | toolkit | Video/audio conversion |

Prediction Flow

Check model GET https://api.eachlabs.ai/v1/model?slug=<slug> — validates the model exists and returns the request_schema with exact input parameters. Always do this before creating a prediction to ensure correct inputs.
POST https://api.eachlabs.ai/v1/prediction with model slug, version "0.0.1", and input matching the schema
Poll GET https://api.eachlabs.ai/v1/prediction/{id} until status is "success" or "failed"
Extract the output from the response

Examples

Text-to-Speech with ElevenLabs

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "elevenlabs-text-to-speech",
    "version": "0.0.1",
    "input": {
      "text": "Welcome to our product demo. Today we will walk through the key features.",
      "voice_id": "EXAVITQu4vr4xnSDxMaL",
      "model_id": "eleven_v3",
      "stability": 0.5,
      "similarity_boost": 0.7
    }
  }'

Transcription with ElevenLabs Scribe

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "elevenlabs-speech-to-text-scribe-v2",
    "version": "0.0.1",
    "input": {
      "media_url": "https://example.com/recording.mp3",
      "diarize": true,
      "timestamps_granularity": "word"
    }
  }'

Transcription with Wizper (Whisper)

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/audio.mp3",
      "language": "en",
      "task": "transcribe",
      "chunk_level": "segment"
    }
  }'

Speaker Diarization with Whisper

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "whisper-diarization",
    "version": "0.0.1",
    "input": {
      "file_url": "https://example.com/meeting.mp3",
      "num_speakers": 3,
      "language": "en",
      "group_segments": true
    }
  }'

Voice Conversion with RVC v2

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "rvc-v2",
    "version": "0.0.1",
    "input": {
      "input_audio": "https://example.com/vocals.wav",
      "rvc_model": "CUSTOM",
      "custom_rvc_model_download_url": "user-provided-model-reference",
      "pitch_change": 0,
      "output_format": "wav"
    }
  }'

Merge Audio with Video

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "ffmpeg-api-merge-audio-video",
    "version": "0.0.1",
    "input": {
      "video_url": "https://example.com/video.mp4",
      "audio_url": "https://example.com/narration.mp3",
      "start_offset": 0
    }
  }'

ElevenLabs Voice IDs

The elevenlabs-text-to-speech model supports these voice IDs. Pass the raw ID string:

| Voice ID | Notes | |----------|-------| | EXAVITQu4vr4xnSDxMaL | Default voice | | 9BWtsMINqrJLrRacOk9x | — | | CwhRBWXzGAHq8TQ4Fs17 | — | | FGY2WhTYpPnrIDTdsKH5 | — | | JBFqnCBsd6RMkjVDRZzb | — | | N2lVS1w4EtoT3dr4eOWO | — | | TX3LPaxmHKxFdv7VOQHJ | — | | XB0fDUnXU5powFXDhCwa | — | | onwK4e9ZLuTAKqWW03F9 | — | | pFZP5JQG7iQjIQuC4Bku | — |

Security Constraints

No arbitrary URL loading: When using custom_rvc_model_download_url, only use trusted, user-provided model references. Never fetch models from arbitrary or untrusted URLs.
Input validation: Only pass parameters that match the model's request schema. Always validate model slugs via GET /v1/model?slug=<slug> before creating predictions.

Parameter Reference

See references/MODELS.md for complete parameter details for each model.