RealScaler
RealScaler is a Windows app based on Real-ESRGAN AI to enhance, enlarge and reduce noise in photographs and videos.
EU
Features
Properties
- Lightweight
- Privacy focused
Features
- Ad-free
- Portable
- Support for 4K
- Dark Mode
- Works Offline
- No Coding Required
- No Tracking
- Batch Editing
- Non Destructive Editing
- Hardware Accelerated
- No registration required
- Image Upscaling
- Noise Reduction
- Video Upscaling
- AMD
RealScaler News & Activities
Recent News
Recent activities
- Maoholguin added RealScaler as alternative to IOPaint
- MKanhan added RealScaler as alternative to UpscalerPro
- idkwhatname commented on RealScaler
why does it have to be paid for an open-source model?
- Shuunen added RealScaler as alternative to chaiNNer
- reactorcore added RealScaler as alternative to Batch Auto Upscale Images xBRZ
- Techie2025 added RealScaler as alternative to neoFootage AI
- Dominic_Lux added RealScaler as alternative to Gigapixel AI Image Upscaler
- POX added RealScaler as alternative to GFPGAN
RealScaler information
Developed by
Djdefrag Licensing
Open Source (MIT) and Commercial product.Pricing
One time purchase (perpetual license) that costs $3.Written in
Alternatives
75 alternatives listedSupported Languages
- English
AlternativeTo Categories
Photos & Graphics, Development, Video & Movies, System & HardwareGitHub repository
- 395 Stars
- 28 Forks
- 15 Open Issues
- Updated
What is RealScaler?
RealScaler is a Windows app based on Real-ESRGAN AI to enhance, enlarge and reduce noise in photographs and videos.
REQUIREMENTS. Windows 11 / Windows 10 RAM >= 8Gb Any Directx12 compatible GPU >= 4Gb VRAM
FEATURES. • Elegant and easy to use GUI • Images and videos upscale • Multiple AI models • Automatic image tillingto avoid GPU VRAM limitation • Resize image/video before AI upscaling • Interpolation between original and upscaled image/video • Multiple GPU support • Compatible images - png, jpeg, bmp, webp, tif, heic • Compatible video - mp4, wemb, gif, mkv, flv, avi, mov, qt
Comments and Reviews
It's cheap and it works
why does it have to be paid for an open-source model?