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VideoReTalking

Free#13 of 28 in AI Video Lip Sync Tools

Open-source audio-driven lip synchronization for talking-head video editing.

—Not yet scored
VideoReTalking— Visit OpenTalker

At a glance

  • Editor score
    Not yet scored
  • Pricing
    Open source
  • Best for
    Offline talking-head editing researchers
  • Paid from
    None
  • Founded
    2022
  • Facts checked
    21 Sep 2026
  • Where it wins

    • Runs locally offline with pretrained model support
    • Combines lip sync, expression control, and face enhancement
    • Supports automated sequential processing with command-line inference
  • Where it doesn't

    • Requires Python, PyTorch, FFmpeg, and model dependencies
    • Designed for technical users rather than hosted no-code workflows
    • Centers on talking-head editing rather than broader video production

Our verdict on VideoReTalking

VideoReTalking is an open-source system from OpenTalker for editing talking-head videos with input audio. It is designed for developers, researchers, and technical users who need local control over audio-driven lip synchronization, expression editing, and identity-aware face enhancement. The workflow accepts a talking-head video and an audio file, then processes the edit through a sequential pipeline. Its offline execution makes it suitable for projects where media processing needs to remain on a local machine rather than move through a hosted SaaS product.

The standout feature is the combination of speech-driven mouth movement and expression control. VideoReTalking can generate canonical-expression face video and offers neutral, smile, surprise, and angry templates. Identity-aware face enhancement is included to support the edited result, while pretrained models provide a starting point for inference. This gives researchers a focused toolkit for experimenting with talking-head transformations, especially when expression variation matters alongside lip synchronization. The command-line interface also fits repeatable technical workflows built around video and audio inputs.

Setup is the main consideration. The published project description calls for Python, PyTorch, FFmpeg, and model dependencies, so VideoReTalking is better suited to users comfortable with local installation and command-line inference than to teams seeking a browser-based editor. Its scope is also narrow: the product focuses on talking-head video editing, not a full video production workspace. Choose it for offline research and developer-led experimentation with pretrained models, audio-driven lip sync, and expression templates. Choose an alternative if you need a hosted interface, a broader editing suite, or a workflow designed for nontechnical users.

VideoReTalking pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on github.com

VideoReTalking fact sheet

Free planNot verified
Paid fromNone
Supported languagesNot verified
Maximum video lengthNot verified
Voice cloningNot verified
API accessNot verified
Output resolutionNot verified
Watermark-free outputNot verified
DeploymentSelf-hosted
SupportDocs
Built forSolo, Small business (editorial estimate)
PricingOpen source
Websitegithub.com
Facts checked21 Sep 2026

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Featured on iTechGuides

Featured on iTechGuides — VideoReTalking —/10

VideoReTalking is listed in our AI Video Lip Sync Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

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