# Custom TTS for eleven labs implementation
**URL:** https://community.openconversational.ai/t/custom-tts-for-eleven-labs-implementation/13598
**Category:** This category is being retired - Support
**Created:** [May 1, 2023, 3:09am UTC](https://community.openconversational.ai/t/custom-tts-for-eleven-labs-implementation/13598 "2023-05-01T03:09:22Z")
**Posts on this page:** 3
**Page:** 1
### Author:  [@Jeebus](https://community.openconversational.ai/u/Jeebus)
#### Post date: [May 1, 2023, 3:09am UTC](https://community.openconversational.ai/t/custom-tts-for-eleven-labs-implementation/13598/1 "2023-05-01T03:09:22Z")
Hey all, new to the forum here. I am looking at implementing a custom TTS engine. Yes, I know there is a long list of supported engines, but I am attempting to use eleven labs specifically. I am at a point where (I think) I implemented all the architecture necessary, but for some reason the TTS simply is not working. I verified that the problem essentially rests either in the tts file itself, or on the mycroft side of things. Here is my mycroft conf file:
`{ "max_allowed_core_version": 21.2, "tts": { "elevenlabs": { "voice_id": "voice id here", "api_key": "my api key here" }, "module": "elevenlabs" } }`
and my `elevenlabs_tts.py`:
`
import requests
from .tts import TTS, TTSValidator
from mycroft.configuration import Configuration
\_API\_URL = “[https://api.elevenlabs.io/v1/text-to-speech](https://api.elevenlabs.io/v1/text-to-speech)”
class ElevenLabsTTS(TTS):
def **init** (self, lang, config):
super(ElevenLabsTTS, self). **init** (lang, config, ElevenLabsTTSValidator(self))
self.config = Configuration.get().get(“tts”, {}).get(“elevenlabs”, {})
self.voice\_id = self.config.get(“voice\_id”)
self.api\_key = self.config.get(“api\_key”)
self.type = “mp3”
```
def get_tts(self, sentence, mp3_file):
url = "{}/{}".format(_API_URL, self.voice_id)
headers = {
"Accept": "audio/mpeg",
"Content-Type": "application/json",
"xi-api-key": self.api_key
}
data = {
"text": sentence,
"voice_settings": {
"stability": 0,
"similarity_boost": 0
}
}
response = requests.post(url, json=data, headers=headers)
CHUNK_SIZE = 1024
with open(mp3_file, 'wb') as f:
for chunk in response.iter_content(chunk_size=CHUNK_SIZE):
if chunk:
f.write(chunk)
return (mp3_file, None) # No phonemes
```
class ElevenLabsTTSValidator(TTSValidator):
def **init** (self, tts):
super(ElevenLabsTTSValidator, self). **init** (tts)
```
def validate_lang(self):
# Assuming Eleven Labs API supports the language set in Mycroft
return True
def validate_connection(self):
# Assuming the API key and voice ID are correct
return True
def get_tts_class(self):
return ElevenLabsTTS`
```
I have verified that the api works in a separate Python example, so there isn’t something wrong with the api key or voice id. Also, I included the file my importing in tts.py:
`from mycroft.tts.elevenlabs_tts import ElevenLabsTTS`
and
`"elevenlabs": ElevenLabsTTS` ← under CLASSES
For some reason, still, I cannot get mycroft to use the custom module. It seems like this should work considering the same implementation for other files, but something is clearly missing.
---
### Author:  [@JarbasAl](https://community.openconversational.ai/u/JarbasAl)
#### Post date: [May 1, 2023, 3:54am UTC](https://community.openconversational.ai/t/custom-tts-for-eleven-labs-implementation/13598/2 "2023-05-01T03:54:23Z")
you probably want to migrate to OVOS plugin manager
[https://openvoiceos.github.io/ovos-technical-manual/tts\_plugins](https://openvoiceos.github.io/ovos-technical-manual/tts_plugins)
---
### Author:  [@g3ar-v](https://community.openconversational.ai/u/g3ar-v)
#### Post date: [May 8, 2023, 9:06pm UTC](https://community.openconversational.ai/t/custom-tts-for-eleven-labs-implementation/13598/3 "2023-05-08T21:06:36Z")
> [@Jeebus](#):
>
> def **init** (self, lang, config):
> super(ElevenLabsTTS, self). **init** (lang, config, ElevenLabsTTSValidator(self))
> self.config = Configuration.get().get(“tts”, {}).get(“elevenlabs”, {})
> self.voice\_id = self.config.get(“voice\_id”)
> self.api\_key = self.config.get(“api\_key”)
> self.type = “mp3”
try using this new python api: [https://github.com/elevenlabs/elevenlabs-python.git](https://github.com/elevenlabs/elevenlabs-python.git)