lipku/LiveTalking
Real time interactive streaming digital human observed · 2026-08-28
Health v2 · maintenance only
89/100
- Activity 98
- Release rhythm 89
- Longevity 70
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 14
- age_days: 989
- days_rel: 75
- days_push: 13
- n_releases_24m: 6
Adoption not part of the score
9238 stars · 1459 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
LiveTalking is an open-source real-time interactive streaming digital human engine that drives a talking-head avatar from text or audio with lip-sync, optionally combined with LLM and TTS for conversational avatars. It supports multiple models (Wav2Lip, MuseTalk, ER-NeRF, Ultralight-Digital-Human), voice cloning, interruption, and outputs via WebRTC, RTMP, or virtual camera.
Use cases
- build a real-time talking avatar that lip-syncs to speech
- create a 24/7 AI virtual streamer for live commerce
- deploy an AI digital human customer service agent
- generate talking-head videos from scripts via API
- build an interactive virtual presenter for education or kiosks
- integrate an LLM-powered avatar with voice conversation and interruption
When to choose
- you need a self-hosted, commercially usable (Apache-2.0) real-time digital human with low latency
- you want to switch between multiple lip-sync models like Wav2Lip, MuseTalk, or ER-NeRF
- you need streaming output over WebRTC/RTMP or a virtual camera
- you want voice cloning, interruption support, and HTTP API integration with LLM/TTS pipelines
When to avoid
- you only need offline video generation of talking heads without real-time streaming
- you lack a CUDA-capable GPU, since inference requires GPU acceleration
- you need enterprise features like transparent backgrounds, multi-avatar scenes, or wake-word interruption, which are in the paid commercial edition
- you want a no-code hosted SaaS rather than a deployable engine
Facets
framework · maturity active
tts speech-recognition llm-inference video-processing audio-processing machine-learning streaming api-framework chatbot artificial-intelligence computer-vision deep-learning web-development media self-hosted windows python self-hosted digital-human talking-head lip-sync wav2lip musetalk nerf webrtc rtmp voice-cloning virtual-streamer realtime-streaming avatar video audio linux macos docker gpu web-server
4 sources
- readme: https://github.com/lipku/LiveTalking · fetched 2026-08-28 · abbeec171dab
- homepage: https://www.livetalking.ai · fetched 2026-08-29 · 20d5af8571dd
- site_page: https://doc.livetalking.ai/docs/service · fetched 2026-08-29 · 8d18591f9834
- site_page: https://doc.livetalking.ai · fetched 2026-08-29 · 22d7bf84944a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| lipku/LiveTalking | main | 89 |
For agents
markdown · JSON · MCP: product_card(name="lipku/LiveTalking")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem