AuraSR vs Upscal
AuraSR
github.comUpscal
upscal.appSide by side
| Figure | AuraSR | Upscal |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | — | Yes |
| iOS | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 2 | 7 |
| Spec score · Image Upscaling Software | 8.1 (#45) | 9.1 (#3) |
| API access | Yes | No |
| Headquarters | fal says it is headquartered in San Francisco. | Hong Kong SAR, China |
| Intended users | fal describes the hosted model as suited to content creators, designers, and developers needing image enhancement. | The maker describes uses including old photos, creator and social video, product and marketing images, anime, illustration, and digital art. |
Plans
Upscal
- FreeFree
- Monthly PlanPrice not published
- Yearly PlanPrice not published
- Lifetime PlanPrice not published
- Monthly Pro$3.99 a month
- Yearly Pro$19.99 a year
- Lifetime Pro$39.99, paid once
In their own words
Upscal
Upscal uses built-in AI models to enhance low-resolution photos and videos on a device. Its image tools target blurry, compressed and old photos, aiming to improve edge sharpness, texture and detail. Video enhancement works frame by frame, and built-in super-resolution models can enlarge images and videos up to 8×. Batch processing is supported, with output formats including JPG, PNG, WebP, MP4, MOV and M4V. Upscal is available on iOS, macOS and Windows. Once the app and required resources are installed, normal image and video enhancement can run offline. The privacy policy says processed media is handled locally rather than sent to an external processing server, though anonymous technical diagnostics may be transmitted, including app and operating-system versions, device category, crash traces and error logs. The free plan costs nothing, has no subscription and includes core image and video enhancement with offline processing; no account is required. The maker permits commercial use when users follow applicable laws and have the necessary rights to the input content. Results vary with source quality and device capability, and enhancement cannot perfectly recover detail that was never captured.