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- FreeScaler
On the recordRead 12 Oct 202616 facts
FreeScaler
Plans and prices
FreeScaler
Free
macOS app · at least 8GB RAM · macOS Big Sur 11.3 or newer
Read 12 Oct 2026 · github.com
On the record
- 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.github.com · read 12 Oct 2026
- Compatibility
- The app is a Cocoa/Swift application available exclusively on macOS, with native components for Apple Silicon and Intel Macs.github.com · read 12 Oct 2026
- Custom models
- Users can import custom CoreML models, which must use images as both input and output.github.com · read 12 Oct 2026
- Desktop app
- Yesgithub.com · read 22 Sep 2026
- Framework
- The app is based on Apple's CoreML framework.github.com · read 12 Oct 2026
- GPU support
- Supported GPUs listed are Apple Silicon, AMD, and Nvidia; Intel GPUs are not supported.github.com · read 12 Oct 2026
- Maker
- TheMurusTeam describes itself as two independent developers focused on Mac firewalls and lists Italy as its location.github.com · read 12 Oct 2026
- Movie upscaling
- Upscaling .mov files is described as an experimental feature.github.com · read 12 Oct 2026
- Privacy
- The project says it collects no data or usage statistics, shows no ads, and does not require uploading images to a remote server.github.com · read 12 Oct 2026
- Processing
- The project says everything is kept on the user's device.github.com · read 12 Oct 2026
- Purpose
- FreeScaler is a free, open-source macOS app for upscaling low-resolution images with AI models.github.com · read 12 Oct 2026
- Requirements
- FreeScaler requires a Mac with at least 8GB RAM and macOS Big Sur 11.3 or newer.github.com · read 12 Oct 2026
- Testing
- The README says the current version was tested only on Apple Silicon Macs running macOS 12 and macOS 13.github.com · read 12 Oct 2026
- Upscaling method
- aigithub.com · read 22 Sep 2026
- Workflow
- Users import an image, choose a model, and compare the original with the upscaled image.github.com · read 12 Oct 2026
