Voicechat2

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voicechat2 is an open-source AI Agents & Automation tool that enables local voice chat using WebSockets. It features a modular design with swappable SRT, LLM, and TTS servers for flexible AI model integration.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is voicechat2?

voicechat2 is a fast, fully local AI voice chat application built on WebSockets, allowing for simple remote access. It offers a modular architecture where users can swap out Speech-to-Text (SRT), Large Language Model (LLM), and Text-to-Speech (TTS) servers. Supported SRT options include whisper.cpp, faster-whisper, or HF Transformers whisper. For LLMs, it integrates with llama.cpp or any OpenAI API compatible server. TTS capabilities are provided by coqui-tts, StyleTTS2, Piper, or MeloTTS. The tool includes a default web UI with Voice Activity Detection (VAD) and Opus support, making it highly customizable for various local AI voice interaction needs.

Best used for

Ideal for developers and researchers who need to build custom, low-latency voice assistants, experiment with different local AI models for speech-to-text, language processing, and text-to-speech, and integrate these components into their own applications. Especially valuable for those requiring full control over their AI stack and local execution.

Common actions

build voice assistants

experiment with LLMs

integrate speech models

develop custom AI agents

open-sourcedeepfakecollaborationworkflowslow-code/no-codeautomated workflowface swapping"AI Agents"github copilot

Capabilities

Key features

Local AI voicechat
Modular SRT/LLM/TTS servers
WebSocket remote access
Default web UI with VAD
Opus audio support
Low latency performance

Target Audience

developersai/ml engineersresearchershobbyists

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What AI models can be used with voicechat2?

voicechat2 supports a variety of models. For Speech-to-Text (SRT), you can use whisper.cpp, faster-whisper, or HF Transformers whisper. For Large Language Models (LLM), it integrates with llama.cpp or any OpenAI API compatible server. Text-to-Speech (TTS) options include coqui-tts, StyleTTS2, Piper, and MeloTTS.

What are the system requirements for running voicechat2?

The installation instructions are provided for Ubuntu LTS and assume you have ROCm or CUDA setup for GPU acceleration. Essential system prerequisites include byobu, curl, wget, espeak-ng, ffmpeg, libopus0, and libopus-dev. Environment management with conda or mamba is recommended.

Can voicechat2 be accessed remotely?

Yes, voicechat2 uses a WebSocket server, which allows for simple remote access. The project includes convenience scripts like `remote-tunnel.sh` and `local-tunnel.sh` to help set up connections to your GPU machine via a jump machine.

Trending

Subcategories trending in AI Agents & Automation

AI Frameworks & Infra General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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Content & Design › Audio & Music

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