Add Gnani (STT and TTS) community integrations#991
Open
Gnani-AI-Mintlify wants to merge 3 commits into
Open
Conversation
markbackman
reviewed
Jul 14, 2026
|
|
||
| ## Overview | ||
|
|
||
| `GnaniHttpSTTService` and `GnaniSTTService` transcribe speech using |
Contributor
There was a problem hiding this comment.
Would it be simpler to just add support for the streaming services? Or, are there use cases where the HTTP API is better suited for voice agents?
Same question for the TTS services.
…uage parameter and clarify features
markbackman
reviewed
Jul 16, 2026
| "source": "/server/services/stt/gladia", | ||
| "destination": "/api-reference/server/services/stt/gladia" | ||
| }, | ||
| { |
Contributor
There was a problem hiding this comment.
No need for a redirect since these were just added.
Author
There was a problem hiding this comment.
sure , will remove those
markbackman
reviewed
Jul 16, 2026
| "source": "/server/services/tts/fish", | ||
| "destination": "/api-reference/server/services/tts/fish" | ||
| }, | ||
| { |
markbackman
reviewed
Jul 16, 2026
markbackman
left a comment
markbackman
left a comment
Contributor
There was a problem hiding this comment.
Before moving forward, I think it's worth considering which APIs to expose to Pipecat. Do you want to maintain HTTP and Websocket endpoints? Pipecat is for realtime / voice use cases, so streaming services are almost always preferred.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Gnani
Adds Gnani to the Community Integrations page under both Speech-to-Text and Text-to-Speech.
Gnani Vachana is a production speech AI platform for Indian languages, providing high-accuracy STT and low-latency TTS across REST, SSE, and WebSocket. The integration includes
GnaniHttpSTTService,GnaniSTTService,GnaniHttpTTSService,GnaniSSETTSService, andGnaniTTSService. WebSocket STT supports 10+ Indian languages at 8/16/44.1/48 kHz, while TTS offers four voices (Pranav, Kaveri, Shubhra, and Deepak) with interruptible WebSocket streaming.Tested with the latest Pipecat main branch (v1.5.0+).
Repository: https://github.com/Gnani-AI-Mintlify/pipecat-gnani
PyPI: https://pypi.org/project/pipecat-gnani/
Core SDK: https://pypi.org/project/gnani-vachana/
Demo Video: https://go.screenpal.com/watch/cOi2nynUax5
Maintainers: (Gnani.ai)