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SekoTalk

Free

Interactive digital humans for the future.

An audio-driven digital human generation model from SenseTime that produces lip-synced talking videos from a single image and audio clip, with support for multi-person scenes, multiple languages, and real-time inference.

lip-syncdigital-humanaudio-drivenreal-timesensetimemulti-languageVideo GenerationDigital Avatar GenerationgenerationVideo Creation
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What is it

SekoTalk is an open-source audio-driven digital human generation model developed by SenseTime. Built on the LightX2V framework, it transforms a static image and an audio clip into a realistic talking video with precise lip synchronization and natural facial motion. An online demo platform lets users experiment with the model for free.

What it can do

Generate talking-head videos from photos, anime characters, animal portraits, or sketches paired with voice audio. Synchronize lip movements for single speakers, sequential dialogue, and simultaneous multi-person conversations. Support over ten languages and vocal styles ranging from speech to rap to Peking Opera. Produce videos from short clips up to fifteen minutes with consistent character identity. Run in real time at 25 frames per second on capable hardware.

Who is it for

Content creators, short-drama producers, educators, live-streaming operators, and developers who need audio-driven avatar videos, multi-language dubbing, or real-time digital human capabilities. The open-source release also suits researchers and engineers who want to build on or fine-tune the model.

Key Features

Audio-Driven Digital Human Generation – Image-to-Talking-Video

Upload a single reference image and an audio clip to generate a realistic talking video. The model handles portrait, half-body, and full-body proportions, producing fluid motion that matches the audio rhythm without manual animation.

Multi-Person Lip-Sync – Group Dialogue Support

Synchronize lip movements for more than two speakers in the same scene. Independent attention masking controls each character's mouth and expression separately, enabling natural-looking debates, discussions, and ensemble performances.

Multi-Language and Vocal Style Support – Global Reach

Generate synchronized speech in English, French, Italian, Portuguese, Japanese, Korean, Mandarin, Cantonese, Hokkien, and other dialects. Handles diverse vocal styles including rap, Peking Opera, bel canto, lyrical, and K-pop.

Multi-Style Generalization – Beyond Human Portraits

Drive lip-sync and motion not only from realistic photos but also from anime characters, animal images, and hand-drawn sketches. The model generalizes across visual styles without style-specific training.

Use Cases

Short drama and motion comic dubbing

Producers upload character stills and voice tracks to generate lip-synced episodes. Multi-person support handles ensemble casts, while long-form generation accommodates full episodes up to 15 minutes.

E-commerce live streaming avatars

Sellers create 24/7 virtual hosts by pairing product photos with scripted or real-time audio. The avatar introduces items, answers questions, and drives engagement without a human host present.

Online education and course content

Educators turn static slide portraits or illustrated characters into narrated instructors. Multi-language support lets the same character deliver lessons in different languages for global student audiences.

Virtual customer service agents

Businesses deploy digital humans on websites or kiosks that respond to customer inquiries with synchronized speech and expressive faces. Real-time inference enables interactive conversations without pre-rendering.

Pricing plans

Free to use

This tool is listed as free. There is no paid pricing page to show here—visit the official site for any usage limits, quotas, or terms of service.

Frequently Asked Questions

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