VIDEO-RETALKING
Synchronize audio with video lip movements for natural and accurate results.
Avg Run Time: 287.000s
Model Slug: video-retalking
Playground
Input
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image/jpeg, image/png, image/jpg, image/webp (Max 50MB)
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audio/wav, audio/mp3 (Max 50MB)
Output
Example Result
Preview and download your result.
API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
video-retalking — Video-to-Video AI Model
video-retalking from Alibaba revolutionizes video-to-video AI by precisely synchronizing audio with lip movements, creating hyper-realistic talking head videos from any source footage and speech input. This model solves the uncanny valley problem in AI-generated speech videos, delivering natural mouth shapes, expressions, and timing that match spoken words perfectly. Developers and creators searching for Alibaba video-to-video tools now have a reliable solution for lip-sync accuracy without manual editing. As part of Alibaba's video-retalking family, it processes input videos and audio to output seamless, professional-grade results ideal for dubbing, virtual avatars, and content localization.
Technical Specifications
What Sets video-retalking Apart
Unlike generic video-to-video AI models, video-retalking excels in precise lip synchronization, mapping audio phonemes to realistic facial movements with sub-frame accuracy for videos up to 30 seconds long. This enables creators to dub content in multiple languages while preserving the original speaker's identity and expressions, a feat many competitors struggle with due to unnatural artifacts.
It supports high-resolution inputs up to 512x512 and outputs in standard MP4 format, with average processing times under 10 seconds per clip on cloud infrastructure, making it efficient for batch workflows. The model's audio-driven animation handles diverse accents and speeds, outperforming basic retargeting tools in naturalness.
- Phoneme-accurate lip mapping: Analyzes audio waveforms to generate exact mouth shapes, enabling flawless multi-language dubbing without retraining.
- Preserves facial identity: Maintains original video's expressions and head poses during sync, ideal for personalized avatars in video-retalking API integrations.
- Short-form video optimization: Handles 5-30 second clips at 25-30 FPS, perfect for social media and YouTube Shorts needing quick AI lip-sync.
Key Considerations
- Facial Occlusions: Performance may degrade if the subject’s face is partially covered or obscured.
- Audio-Video Sync: Ensure that the audio input is properly aligned with the video timeline for accurate results.
Tips & Tricks
How to Use video-retalking on Eachlabs
Access video-retalking seamlessly on Eachlabs via the Playground for instant testing—upload a source video, audio file or text-to-speech input, and adjust sync parameters like resolution or duration. Integrate through the API or SDK with simple calls specifying video URL, audio waveform, and output format for high-quality MP4 results. Eachlabs delivers fast, scalable processing with full documentation for production workflows.
---Capabilities
- Realistic Lip-Sync: Modifies lip movements in videos to align with new audio inputs with high precision.
- Facial Animation: Animates static images or enhances facial expressions in videos.
- High-Resolution Outputs: Generates professional-quality videos suitable for media production.
What Can I Use It For?
Use Cases for video-retalking
Content creators dubbing tutorials: Feed a silent talking-head video of a chef demonstrating a recipe plus target-language audio, and video-retalking outputs perfectly synced lips—streamlining localization for global audiences without reshoots.
Marketers building personalized ads: Developers integrating the video-retalking API can automate avatar videos; input a product spokesperson clip and sales script like "Discover how our AI tool boosts your workflow by 3x with seamless integration," yielding natural delivery for A/B testing campaigns.
Educators creating accessible lectures: Upload lecture footage and translated audio tracks—video-retalking ensures lip movements match exactly, supporting subtitles-free viewing for non-native speakers in online courses.
Virtual influencers for social media: Animate static portraits with custom voiceovers; its identity preservation keeps the digital character's unique look intact across episodes, attracting brands seeking scalable Alibaba video-to-video production.
Things to Be Aware Of
- Creative Narratives: Use the model to animate portraits or videos for storytelling projects.
- Audio Experiments: Test the model with different audio inputs, including dialogues, music, or sound effects.
Limitations
- Background Artifacts: Complex or dynamic backgrounds may introduce minor artifacts in the output.
- Expression Variability: The model may struggle with exaggerated or highly dynamic facial expressions.
- Lighting Issues: Inconsistent lighting in the input video can affect the quality of the output.
- Output Format: MP4
Pricing
Pricing Detail
This model runs at a cost of $0.001073 per second.
The average execution time is 287 seconds, but this may vary depending on your input data.
The average cost per run is $0.307808
Pricing Type: Execution Time
Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.
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