Rayopix
Rayopix: remove the viral matcha filter and rebuild a natural photo with AI
- Pricing:
- Free plan
Overview
Rayopix is an online AI photo reconstruction tool built as a Matcha Filter Remover. Upload one matcha-styled image and, using the visible subject, pose and framing as a guide, it rebuilds natural color and texture—restoring skin, hair, clothing and backgrounds that the viral effect redrew into green liquid art back toward believable photography—with no prompt writing required.
It auto-follows the source shape at 1K by default, keeps the visible pose and framing anchored, and clearly labels the output as an AI reconstruction. It is not plain color correction: a light green cast is fixed by adjusting pixels, while a heavy matcha liquid effect requires regenerating surfaces. Sample generations are free; sign in to process your own image with credits. It works best for selfies and portraits, couples and groups, pets, product shots, and exported TikTok frames.
Core capabilities
- Matcha filter remover
- one click strips the viral matcha effect and rebuilds natural color and material.
- AI photo reconstruction
- regenerates surface detail using the visible subject, pose and composition as a guide.
- No prompt writing
- the reversal instruction is built in; you choose source, shape and resolution.
- Pose and framing anchored
- keeps the recognizable subject, subject count and layout fixed.
- Interactive comparison
- drag a slider between the matcha art and the natural rebuild, labeled as AI reconstruction.
- Free samples to start
- sample generations are free; sign in to process your own image with credits.
- Wide use cases
- portraits, couples and groups, pets, products and exported TikTok frames.
Use cases
- Restore portrait photos ruined by the viral matcha filter
- Reconstruct a TikTok matcha-filter video frame into a natural photo
- Rebuild surfaces of pet or product photos covered by the liquid effect
- Recover a usable natural photo when the matcha version is the only source
Who it's for
Social media users, Selfie and portrait takers, Content creators, Everyday photography users
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