- Added support for vertical text censoring.
- Optimized image clarity and product experience.
Improve speed and accuracy.
Optimized the default avatar to enhance the product experience.
Fix the lagging and black screen issue when saving images.
- Fixed the issue of color selection not updating immediately.
- Improved speed and stability.
- Fixed the issue of being unable to switch fill colors.
- Fixed the problem of exported images being blurry or having white edges.
- Improved product stability.
- Fixes inconsistent colors in the color picker, optimizes application performance.
- Optimize model loading speed and fix issues.
- Accessibility support.
Accessibility support.
- Accelerate local model loading speed and optimize the user experience.
- Issue fixes & performance improvements.
- You can now adjust the size of the manual blurring.
Fix some issues, significantly improve performance.
Bug fixes and performance improvements.
Fixed some issues to improve user experience.
Fixed some issues, now the free version can also be used unlimited times.
- Improve model performance.
- You can now use custom content to mask faces.
- Fixed filled shape not following slanted content when blurring.
- You can now set language for better accuracy in text detection.
- Improved model accuracy.
- Fixed the repeated rendering issue.
- Fixed some issues.
- Now you can only blur out the nickname.
- Improve the accuracy of the nickname recognition model.
- Now you can auto-import photos.
- Redesigned the icon, name, and UI.
- Immersive Blurring Enhanced: You can apply immersive blurring for avatars, faces, and nicknames—now more seamless and automatic than ever.
- Faster, Smarter Recognition: Optimized the avatar recognition model and accelerated the blurring speed.
- Fixed the issue of avatar flickering and added support for switching between circular/square avatars.
- Optimized model accuracy.
- Support for immersive blurring: You can use custom avatars to replace the avatars that need to be obscured, instead of using color masks or mosaics.
- Train models and continuously improve detection accuracy.
- Significantly improve model accuracy.
- Multilingual localization support.