PicWish Image Upscaler vs Upscal

PicWish Image Upscaler is an AI service for enlarging images, offered by a Hong Kong maker founded in 2021. It accepts PNG, JPG, JPEG, JFIF, WEBP, and BMP files. The service supports batch processing, API access, and a desktop app, and its maximum enlargement scale is custom rather than a fixed listed value. The free plan costs nothing and allows limited non-HD downloads each day. A Pro plan provides daily HD downloads for most online features, but no price is listed. Pay-as-you-go credits also have no listed price and remain permanently valid after purchase. A monthly subscription supplies a budget of API credits; unused subscription credits can roll over while the subscription remains active. PicWish lists API as a platform while also providing online and desktop workflows for image enlargement. The available facts describe scaling and access options, but not a fixed maximum size or prices for paid plans.

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.