Claid vs NextGenUp
Claid
claid.aiNextGenUp
matily.orgSide by side
| Figure | Claid | NextGenUp |
|---|---|---|
| Price from | $9/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 7 | 2 |
| Spec score · Image Upscaling Software | 8.9 (#9) | 8.7 (#13) |
| Spec score · AI Image Upscalers | 9.1 (#3) | 8.3 (#13) |
| Batch processing | Yes | Users can queue a folder of images and export the results together as a ZIP file. |
Plans
Claid
- Free trialPrice not published
- Essentials$9 a month
- Pro$35 a month
- FreeFree
- Self-serve API$59, paid once
- BusinessPriced on request
- Self-serve API creditsPrice not published
In their own words
Claid
Claid is an image and video suite for product and fashion photography, available on the web and through an API. Its tools include AI Photoshoot, AI fashion models, background removal, image upscaling, light and color correction, and image-to-video. Claid says its AI is trained for product photography and aims to retain details, logos and branding. The API handles image and video operations such as AI backgrounds, natural-language editing, upscaling and generative resizing; batch processing is supported. Images can be processed from AWS S3, Google Cloud Storage or a web folder. Claid’s Zapier integration can send edited and generated images to more than 6,000 apps. The company identifies marketplaces and ecommerce businesses as users and says its story began in 2017 while addressing low-quality product photos for ecommerce platforms. Claid says it is GDPR and CCPA compliant, encrypts data at rest and in transit, and does not use customer data for model training; SOC 2 is in progress. A free plan includes 50 credits for any operation and 50 API credits. A free trial is also listed.
NextGenUp
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.