Video text remover tool that uses AI to automatically detect and remove text, subtitles, watermarks, and captions from videos while reconstructing the background naturally
High-fidelity photorealistic AI image generation with natural prompting
Stage
Not given
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Starter plan: $8.3/month or $99/year (18,000 credits per year, $0.55 per 100 credits); Plus plan: $15.8/month or $190/year (54,000 credits per year, $0.35 per 100 credits); Premium plan: $30/month or $360/year (144,000 credits per year, $0.25 per 100 credits)
Free and open source
Key features
Background reconstruction instead of blur
Support for multiple video formats
Up to 15 minutes video length
Preview before download
Works on mobile browsers
Mark up to 10 text areas for manual control
Real-time credit estimate before processing
Multiple resolution options (480P, 720P, 1080P)
30 days storage for processed videos
High-fidelity skin and eye rendering with fine pores and light reflections
Robust composition coherence for multi-subject scenes and action shots
Baked-in VAE with optimized color tuning
Simple natural language prompting without complex templates
Compatible with ComfyUI, Automatic1111, and Forge
Works with popular SDXL ControlNets and IP-Adapters
Thousands of compatible LoRAs available
Optimized CFG sensitivity for high quality at lower scales
Natural light scattering and structural accuracy
Experimental Catalyst branch for continuous model evolution
What makes it different
Reconstructs background naturally instead of using blur
No software installation required, works entirely in browser
Automatic detection combined with manual control option
Process videos without re-editing every frame
Works on mobile devices without desktop software
Minimal prompting complexity with natural language descriptions instead of complex embeddings
Eliminates artificial AI textures and generic rendering artifacts
Open-source with commercial use permissions
Seamless integration into existing AI image generation workflows
Continuously refined through community feedback and experimental development