FreeScaler
github.com
- Free plan
- macOS
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Plans
Every plan and priceFreeScaler
Free
Free plan
What the maker publishes
- Apple Silicon
- On Apple Silicon Macs, built-in models use the Neural Engine by default, and the project reports a 5x–10x speed increase over FreeScaler 1 and 75% lower power consumption. source
- Compatibility
- The app is a Cocoa/Swift application available exclusively on macOS, with native components for Apple Silicon and Intel Macs. source
- Custom models
- Users can import custom CoreML models, which must use images as both input and output. source
- Desktop app
- Yes source
- Framework
- The app is based on Apple's CoreML framework. source
- Free plan
- Yes source
- GPU support
- Supported GPUs listed are Apple Silicon, AMD, and Nvidia; Intel GPUs are not supported. source
- Maker
- TheMurusTeam describes itself as two independent developers focused on Mac firewalls and lists Italy as its location. source
- Movie upscaling
- Upscaling .mov files is described as an experimental feature. source
- Privacy
- The project says it collects no data or usage statistics, shows no ads, and does not require uploading images to a remote server. source
- Processing
- The project says everything is kept on the user's device. source
- Purpose
- FreeScaler is a free, open-source macOS app for upscaling low-resolution images with AI models. source
- Requirements
- FreeScaler requires a Mac with at least 8GB RAM and macOS Big Sur 11.3 or newer. source
- Testing
- The README says the current version was tested only on Apple Silicon Macs running macOS 12 and macOS 13. source
- Upscaling method
- ai source
- Workflow
- Users import an image, choose a model, and compare the original with the upscaled image. source
Checked against the maker's pages on 12 Oct 2026.