Wav2Lip

Wav2Lip is an AI model that generates realistic lip-synced talking videos by taking an input face (image or video) and an audio track. It analyzes the speech and predicts corresponding mouth movements frame by frame, then blends them into the original video while preserving identity, pose, and expressions.

Yes. Wav2Lip is released as a free, open-source research project. You can download the code and models from the official repository, run it locally, and integrate it into your own workflows, subject to the license terms of the project.

Wav2Lip is largely language-agnostic because it learns visual speech patterns from audio features rather than specific phonemes. In practice, it can work with many languages and accents, as long as the audio is clear and intelligible.

For best results, use a face image or video with a clearly visible mouth, minimal occlusions, and stable lighting, along with clean audio without heavy noise or music. Higher resolution inputs typically yield sharper, more realistic lip sync outputs.

Wav2Lip is primarily a research model; whether you can use it commercially depends on the specific license and any third-party assets you use (faces, voices, datasets). Always review the project license and ensure you have rights and consent for any media you process.