#i am having free account for eleven labs and using its api key for tts and using voice id mfMM3ijQg
1 messages · Page 1 of 1 (latest)
Short answer: use Eleven v3.
Why your current setup struggles
- Gujarati isn’t listed as a supported language for the “Eleven Multilingual v2” model, which explains the poor Gujarati output. (help.elevenlabs.io)
What to use instead
- Eleven v3 (model_id: eleven_v3) supports Gujarati (and Marathi) and is available to all users, including free accounts. Switch your TTS calls to model_id=eleven_v3. (help.elevenlabs.io)
Voice choice for better Gujarati
- Language is auto-detected from your input text; to get Gujarati, write your text in Gujarati. For best accent/pronunciation, use a Gujarati-native voice from the Voice Library (filter by language/accent), or clone a Gujarati-speaking voice. (help.elevenlabs.io)
Notes
- Flash/Turbo v2.5 models do not list Gujarati among supported languages, so they aren’t suitable if Gujarati is required. (help.elevenlabs.io)
If you need, I can help you test a sample request with model_id=eleven_v3 and suggest Gujarati voices from the Voice Library.
Sources:
What languages do you support? – ElevenLabs
What languages do you support? – ElevenLabs
How do I select the language and accent? – ElevenLabs
What languages do you support? – ElevenLabs
but i am using free tier and if i use eleven_v3 there it is not allowing mw to use then what to do?
Short answer: Eleven v3 should be available on the Free plan. If it “is not allowing” you, it’s usually a request/setup issue—not a plan restriction.
What to do
- Use the Text-to-Speech REST endpoints and set model_id to eleven_v3. Eleven v3 (Alpha) is enabled for all users, including Free. (help.elevenlabs.io)
- Gujarati is supported in Eleven v3, but not in Multilingual v2/Flash/Turbo. For proper Gujarati TTS, switch to eleven_v3. (elevenlabs.io)
- Ensure your request stays within v3 limits. Eleven v3 currently has a lower per‑request character limit than v2 models (3,000 chars shown in the models doc). If you exceed limits you’ll get 400 errors. (elevenlabs.io)
- Do not use v3 for real‑time/Agents; it’s not made for real‑time. If you need real‑time use Flash/Turbo, but note Gujarati isn’t listed for those models. (elevenlabs.io)
- If you previously saw messaging that API access wasn’t available: Eleven v3 API access was made available on Aug 20, 2025—use model_id=eleven_v3. (elevenlabs.io)
If you still get an error, please share the exact HTTP status and response “detail” field; common causes are invalid_api_key, quota_exceeded, or max_character_limit_exceeded. (help.elevenlabs.io)
Sources:
How do I get access to Eleven v3 (Alpha)? – ElevenLabs
Models | ElevenLabs Documentation
Models | ElevenLabs Documentation
Models | ElevenLabs Documentation
August 20, 2025 | ElevenLabs Documentation
API - Error Code 400 or 401 – ElevenLabs
2025-09-29 17:30:05.725 | ERROR | pipecat.services.elevenlabs.tts:_connect_websocket:525 - ElevenLabsTTSService#0 initialization error: server rejected WebSocket connection: HTTP 403
2025-09-29 17:30:05.725 | ERROR | pipecat.services.elevenlabs.tts:run_tts:709 - ElevenLabsTTSService#0 error sending message: 'NoneType' object has no attribute 'send'
2025-09-29 17:30:05.726 | DEBUG | pipecat.processors.metrics.frame_processor_metrics:stop_processing_metrics:152 - ElevenLabsTTSService#0 processing time: 0.34804725646972656
see it is giving me message like this if i use
tts = ElevenLabsTTSService(
api_key=os.getenv("ELEVENLABS_API_KEY"),
voice_id="mfMM3ijQgz8QtMeKifko",
model="eleven_v3"
)
Root cause
- The Text-to-Speech WebSocket (“stream-input”) API does not support the eleven_v3 model. Trying to open a WS session with model=eleven_v3 results in a rejected WS handshake (HTTP 403), which matches your log. (elevenlabs.io)
What to do
- If you need real-time WebSocket TTS: use a WS‑compatible model such as eleven_flash_v2_5 or eleven_multilingual_v2, and connect to wss://api.elevenlabs.io/v1/text-to-speech/:voice_id/stream-input with your xi-api-key header. (elevenlabs.io)
- If you need high‑quality Gujarati: use eleven_v3, but call the HTTP Text‑to‑Speech endpoints instead (Create speech or Stream speech over HTTP). eleven_v3 supports Gujarati; multilingual_v2/flash v2.5 do not list Gujarati among supported languages. (help.elevenlabs.io)
Access on free tier
- Eleven v3 (Alpha) is available to all ElevenLabs users; you don’t need special access. Use model_id=eleven_v3 with the Create speech or Stream speech endpoints. (help.elevenlabs.io)
Quick checklist
- For WebSockets: pick eleven_flash_v2_5 or eleven_multilingual_v2 and include xi-api-key in the WS headers. (elevenlabs.io)
- For Gujarati: switch your integration from WS to HTTP streaming and keep model_id=eleven_v3. (elevenlabs.io)
References
- Real-time WS guide (notes that WS is not available for eleven_v3). (elevenlabs.io)
- WS API reference (endpoint and headers). (elevenlabs.io)
- Eleven v3 overview and access on all accounts. (help.elevenlabs.io)
- Models and language support (Gujarati in v3). (elevenlabs.io)
- HTTP streaming for TTS. (elevenlabs.io)
Sources:
Generate audio in real-time | ElevenLabs Documentation
Generate audio in real-time | ElevenLabs Documentation
What is Eleven v3 (Alpha)? – ElevenLabs
How do I get access to Eleven v3 (Alpha)? – ElevenLabs
WebSocket | ElevenLabs Documentation
Streaming | ElevenLabs Documentation
Generate audio in real-time | ElevenLabs Documentation
WebSocket | ElevenLabs Documentation
What is Eleven v3 (Alpha)? – ElevenLabs
Models | ElevenLabs Documentation
Streaming | ElevenLabs Documentation
how to do that integration using http