µScale vs Edit At Scale
Side-by-side comparison · Updated April 2026
| Description | µScale is a powerful micro app designed for upscaling your images using Replicate AI's 'nightmareai/real-esrgan' model. This open-source application serves as an ideal foundation for your future projects, featuring the latest technology such as Next.js version 14 with RSC and client components, Stripe.js for seamless credit purchasing via Stripe Checkout, and Supabase for comprehensive authentication, storage, and database management for credits and images. New users receive 5 free credits upon signing up, with additional credits available for purchase. A demo mode is also available where all functionalities are mocked for trial purposes. | Transform your e-commerce business effortlessly with Cloudinary LABS Edit @ Scale, an AI-powered batch editor designed specifically for product photos. This innovative tool enables users to streamline their workflow by allowing them to edit multiple images at once. It even provides options to apply beautiful, unique backgrounds to images, making product photos stand out. Whether utilizing drag-and-drop or selecting images manually, Edit @ Scale is perfect for bulk photo enhancements, saving both time and effort. |
| Category | Image Improvement | Image Editing |
| Rating | No reviews | No reviews |
| Pricing | Freemium | N/A |
| Starting Price | Free | N/A |
| Plans |
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| Use Cases |
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| Tags | image upscalingopen-sourceNext.js 14RSCclient components | AI-poweredbatch editorproduct photosworkflowedit multiple images at once |
| Features | ||
| 5 free credits upon sign-up | ||
| Next.js v14 with RSC and client components | ||
| Integration with 'nightmareai/real-esrgan' model for image upscaling | ||
| Stripe.js for purchasing credits through Stripe Checkout | ||
| Supabase for authentication, storage, and database management | ||
| Open-source under MIT License | ||
| Demo mode with mocked functionalities | ||
| Developed by adevinwild | ||
| Simple and straightforward pricing | ||
| Ideal foundation for future projects | ||
| AI-powered batch editing | ||
| User-friendly interface | ||
| Drag-and-drop functionality | ||
| Manual image selection | ||
| Background customization | ||
| Time-saving efficiency | ||
| Versatile for various photo types | ||
| No special skills required | ||
| Experimentation with pre-loaded images | ||
| High-quality image enhancement | ||
| View µScale | View Edit At Scale | |
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