ElevenLabs API
★ Only Publicly Available OpenAPI DocumentAI/MLSpeechapiKey151 EndpointsREST
For Agents
Synthesize speech from text with custom or cloned voices, convert speech between voices, and generate sound effects. Supports 29+ languages with streaming output for real-time audio.
Use for: I need to convert this text to speech with a specific voice, I want to clone a voice from an audio sample, Generate a sound effect from a text description, List all available voices and their characteristics
Not supported: Does not handle speech-to-text transcription, natural language understanding, or text generation — use for voice synthesis, audio processing, and sound generation only.
Convert text to natural-sounding speech, clone voices, and process audio across 151 endpoints covering text-to-speech, speech-to-speech, voice generation, sound effects, dubbing, and audio isolation. Supports 29+ languages, custom voice creation from audio samples, streaming audio output, and pronunciation dictionaries. Authentication uses the xi-api-key header for all requests.
Install Jentic One Beta
Connect the ElevenLabs API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the ElevenLabs API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with ElevenLabs API.
Synthesize natural speech from text with 29+ language support and emotion control
Clone custom voices from uploaded audio samples for personalized synthesis
Convert speech from one voice to another while preserving content and timing
Generate sound effects and ambient audio from text descriptions
Stream audio output in real-time for low-latency playback applications
Isolate vocals from background noise in audio recordings
Dub video content into multiple languages with voice matching
Use Cases
Patterns agents use ElevenLabs API for, with concrete tasks.
★ AI Agent Voice Synthesis via Jentic
AI agents discover and invoke ElevenLabs text-to-speech through Jentic's intent-based search to add voice output to conversational interfaces. Agents search for the synthesis operation, receive the input schema including voice_id and model_id parameters, and execute requests that return audio streams. No SDK setup required — agents specify text, voice, and output format and receive MP3 or PCM audio directly.
Search Jentic for 'convert text to speech', load the POST /v1/text-to-speech/{voice_id} schema, and execute with a voice ID and 200-word text input to receive MP3 audio
Custom Voice Cloning
Create custom voices from audio samples using voice generation endpoints. Upload reference audio files via voice samples, configure voice characteristics, and use the resulting voice_id for all subsequent text-to-speech calls. Supports both instant voice cloning from a single sample and professional voice cloning with higher fidelity from multiple samples.
Upload an audio sample to create a voice clone via POST /v1/voice-generation/create-voice, then synthesize text using the returned voice_id via POST /v1/text-to-speech/{voice_id}
Real-Time Streaming Speech
Stream synthesized audio in real-time using the POST /v1/text-to-speech/{voice_id}/stream endpoint for low-latency applications. Returns chunked audio as it is generated, enabling playback to begin before the full synthesis completes. Ideal for voice assistants, live narration, and interactive dialogue systems where response time matters more than batch processing efficiency.
Stream a 500-word article as speech via POST /v1/text-to-speech/{voice_id}/stream with output_format 'mp3_44100_128' and begin playback from the first audio chunk
Audio Isolation and Enhancement
Separate vocals from background noise in audio recordings using POST /v1/audio-isolation. Upload mixed audio and receive a clean vocal track with background sounds removed. Useful for podcast editing, meeting transcription preprocessing, and cleaning noisy recordings before speech-to-text or voice conversion processing.
Submit a noisy audio recording to POST /v1/audio-isolation and retrieve the cleaned vocal track for downstream transcription
Sound Effect Generation
Generate custom sound effects from text descriptions using POST /v1/sound-generation. Describe the desired sound in natural language and receive synthesized audio matching the description. Supports ambient sounds, foley effects, and musical elements for game development, video production, and interactive media without requiring a sound library.
Generate a 'thunderstorm with heavy rain' sound effect via POST /v1/sound-generation with duration of 10 seconds
Key Endpoints
151 endpoints — convert text to natural-sounding speech, clone voices, and process audio across 151 endpoints covering text-to-speech, speech-to-speech, voice generation, sound effects, dubbing, and audio isolation.
METHOD
PATH
DESCRIPTION
POST
/v1/text-to-speech/{voice_id}
Convert text to speech with a specific voice
POST
/v1/text-to-speech/{voice_id}/stream
Stream synthesized speech in real-time
POST
/v1/speech-to-speech/{voice_id}
Convert speech from one voice to another
POST
/v1/sound-generation
Generate sound effects from text descriptions
POST
/v1/audio-isolation
Isolate vocals from background audio
GET
/v1/voices
List all available voices
POST
/v1/voice-generation/create-voice
Create a voice from generated parameters
GET
/v1/history
Retrieve speech generation history
POST
/v1/text-to-speech/{voice_id}
Convert text to speech with a specific voice
POST
/v1/text-to-speech/{voice_id}/stream
Stream synthesized speech in real-time
POST
/v1/speech-to-speech/{voice_id}
Convert speech from one voice to another
POST
/v1/sound-generation
Generate sound effects from text descriptions
POST
/v1/audio-isolation
Isolate vocals from background audio
GET
/v1/voices
List all available voices
POST
/v1/voice-generation/create-voice
Create a voice from generated parameters
GET
/v1/history
Retrieve speech generation history
Why Jentic?
Three things that make agents converge on Jentic-routed access.
Credential isolation
ElevenLabs API keys (xi-api-key header) are stored encrypted in the Jentic vault (MAXsystem). Agents receive scoped access tokens — raw API keys never enter the agent's context or logs.
Intent-based discovery
Agents search by intent (e.g., 'convert text to speech with a custom voice') and Jentic returns matching ElevenLabs operations with input schemas including voice_id options, model selections, and output format parameters.
Time to first call
Direct ElevenLabs integration: 1-3 days for auth, voice selection, streaming setup, and format handling. Through Jentic: under 1 hour — search for the operation, load schema, execute.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using ElevenLabs API through Jentic.
What authentication does the ElevenLabs API use?
The ElevenLabs API uses an API key passed in the xi-api-key header with every request. You can find your key in the Profile tab at elevenlabs.io. Through Jentic, your xi-api-key is stored encrypted in the MAXsystem vault and agents receive scoped access without the raw key entering their context.
Can I clone a custom voice with the ElevenLabs API?
Yes. Upload audio samples via the voice creation endpoints to create a voice clone. Instant voice cloning works from a single short sample via POST /v1/voice-generation/create-voice. Professional cloning requires multiple samples for higher fidelity. The resulting voice_id can be used in all text-to-speech and streaming endpoints.
What are the rate limits for the ElevenLabs API?
Rate limits are tied to your subscription tier. Free accounts get 10,000 characters per month. Starter plans provide 30,000 characters, and higher tiers scale up to millions. Concurrent request limits vary by plan — the API returns 429 status codes when exceeded. Character usage can be checked via GET /v1/user/subscription.
How do I synthesize speech through Jentic?
Search Jentic for 'convert text to speech with a custom voice' to discover the POST /v1/text-to-speech/{voice_id} operation. The schema shows required parameters: voice_id in the path and text in the body. Optionally set model_id for multilingual synthesis. Execute through Jentic's SDK (pip install jentic) and receive the audio file directly.
What audio formats does the ElevenLabs API support?
The text-to-speech endpoints support MP3 (various bitrates: 44100_128, 44100_64), PCM (16000, 22050, 24000, 44100), and mu-law formats. Specify the desired format via the output_format query parameter on POST /v1/text-to-speech/{voice_id}. Streaming endpoints support the same formats for chunked delivery.
Can I generate sound effects with the ElevenLabs API?
Yes. The POST /v1/sound-generation endpoint accepts a text description of the desired sound and generates matching audio. Describe sounds in natural language like 'gentle rain on a tin roof' or 'car engine starting'. The endpoint returns the generated audio file directly. Useful for game audio, video production, and interactive media.
What languages does ElevenLabs text-to-speech support?
ElevenLabs supports 29+ languages including English, Spanish, French, German, Italian, Portuguese, Polish, Hindi, Arabic, Japanese, Korean, and Chinese. Use the multilingual_v2 model for non-English synthesis. Language is auto-detected from input text, or you can specify it explicitly in the request body for more accurate pronunciation.
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