eachlabs-voice-audio

name	eachlabs-voice-audio
description	Text-to-speech, speech-to-text, voice conversion, and audio processing using EachLabs AI models. Supports ElevenLabs TTS, Whisper transcription with diarization, and RVC voice conversion. Use when the user needs TTS, transcription, or voice conversion.
metadata	{"author":"eachlabs","version":"1.0"}

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

1. 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.
2. POST https://api.eachlabs.ai/v1/prediction with model slug, version "0.0.1", and input matching the schema
3. Poll GET https://api.eachlabs.ai/v1/prediction/{id} until status is "success" or "failed"
4. 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.