VideoChat

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VideoChat is an open-source AI tool that enables real-time voice interactive digital humans. It allows for customizable appearance and voice, supports voice cloning, and offers low dialogue latency.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is VideoChat?

VideoChat is an open-source project designed for creating real-time voice interactive digital humans. Users can customize the appearance and voice of these digital avatars, with support for voice cloning. The platform boasts low dialogue latency, with initial package delays as low as 3 seconds. It supports both end-to-end (MLLM - THG) and cascaded (ASR-LLM-TTS-THG) solutions, offering flexibility based on hardware capabilities. Key technologies integrated include FunASR for automatic speech recognition, Qwen and GLM-4-Voice for large language models, GPT-SoVITS, CosyVoice, and edge-tts for text-to-speech, and MuseTalk for talking head generation. The project provides options for local deployment, including managing GPU memory requirements and configuring API keys for LLM and TTS modules.

Best used for

Ideal for developers and researchers who need to build interactive digital humans, customize avatar appearances and voices, and implement voice cloning. Especially valuable for projects requiring low-latency real-time voice interaction and flexible deployment options.

Common actions

create digital humans

customize avatar voice

generate talking heads

implement voice cloning

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Capabilities

Key features

Real-time voice interaction
Customizable avatar appearance
Voice cloning support
Low dialogue latency
End-to-end MLLM
Cascaded ASR-LLM-TTS-THG

Target Audience

developersai researchersgame developersvirtual assistant creators

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for running VideoChat?

For the cascaded solution (ASR-LLM-TTS-THG), approximately 8GB of VRAM is needed, with an initial package delay of about 3 seconds on a single A100 GPU. The end-to-end MLLM solution requires around 20GB of VRAM and has an initial package delay of about 7 seconds on a single A100.

Can I use my own custom avatar image and voice with VideoChat?

Yes, you can customize both the avatar's appearance and voice. For appearance, you add video files to the data directory and configure the avatar list. For voice, you can use voice cloning by uploading reference audio or permanently adding custom voices to the demo.

Does VideoChat support API keys for LLM and TTS modules?

Yes, VideoChat supports using API keys for LLM and TTS modules, particularly for Qwen and CosyVoice APIs from Alibaba Cloud. This is useful if local machine performance is limited. Instructions for configuring API keys are provided in the app.py file.

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AI Agents & Automation › Voice Agents

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