AI thumbnail maker for YouTube that generates scroll-stopping covers in seconds
AI-powered video lip synchronization framework
Stage
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Founded
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Based in
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Pricing model
Freemium
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Pricing
Lite: $19/month (or $14/month annually) for 35 thumbnails per month. Starter (most popular): $39/month (or $29/month annually) for 75 thumbnails per month. Pro: $79/month (or $59/month annually) for 200 thumbnails per month. All plans include a 7-day free trial and full access to 50+ style packs. Fr
One-time payment plans: Starter $9.90 (500 credits), Pro $49.90 (2500 credits), Ultimate $99.90 (5000 credits). Average of 10 credits per second. All plans include high-quality generation, access to all major AI models, no watermark, and commercial use rights.
Key features
50+ pre-made Style Packs for different niches
Copy the visual style of any YouTube video or channel
Custom persona from 1-3 photos for consistent facial appearance
Plain-language editing with natural text commands
2K resolution thumbnails in 16:9 and 9:16 formats
Automatic video analysis from YouTube links
Video caption support up to 40 characters
Faceless channel support
Free tools including YouTube thumbnail downloader and resizer
Version history to revert to earlier thumbnail versions
Multi-language support for lip synchronization across different languages and accents
512x512 high-resolution video output
Real-time processing with efficient architecture
Temporal consistency mechanisms for smooth lip movements
Whisper integration for precise audio feature extraction
End-to-end latent diffusion without intermediate motion representations
Low VRAM requirements for accessible scaling
Flexible deployment with Gradio App and CLI interface
What makes it different
Generate finished thumbnails in 30 seconds without designer experience
No complex prompts required—choose from proven style packs instead
Automatically reads video content to suggest appropriate thumbnail designs
Consistent facial appearance across all thumbnails via persona feature
2K resolution exports optimized for YouTube that stay under 2MB file limit
Audio-conditioned latent diffusion without intermediate motion representations
Preserves original visual details and lighting in latent space
Language-agnostic processing works across different languages
Open source ecosystem with full access to code and checkpoints
Extensive research-backed algorithms for high-quality results
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LatentSync