NextGenUp vs Upscal

NextGenUp is a free tool for enlarging images and video, available as desktop software for macOS, Windows 10/11 and Linux, or as a self-hosted web app. Processing runs on the user's hardware: its models, FFmpeg and server run locally, and files are not sent to cloud processing. Images can be enlarged to 8K using Quick, Quality, Enhance or Ultra modes; video upscaling reaches 4K through basic and professional AI modes. Enhance reduces noise and blur without enlarging the image, while GFPGAN v1.4 detects faces and restores detail. Real-ESRGAN handles super-resolution. Processing uses the CPU by default and accelerates with a GPU when available. The browser app can use WebGPU on Chrome or Edge 113 and later. The software is MIT licensed and needs no subscription, watermark or account. There is no trial limit. Web files are limited to 2 GB, and older processed files are automatically removed after 24 hours. PNG is the listed output format.

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.