Best use cases
- Small photos that need a larger preview.
- Old product images, screenshots or social assets.
- Comparing 2x and 4x enlargement before download.
Enlarge images with browser-based Real-ESRGAN processing and compare the result before downloading.
Photo enhancement works best when it solves a specific output-size problem instead of simply making every image larger.
Set the required output size first, choose the smallest scale factor that reaches it, and judge the result around faces, hair, product labels and high-contrast edges.
It estimates plausible detail from the source; it cannot restore information that was never captured.
Use the smallest scale that meets the need for a more natural result.
Very blurry or heavily compressed sources can produce invented texture. Review important details before using the output.
Usually yes for web publishing, because upscaling increases pixel count and file size.
Choose a focused workflow.
Enlarge old photos and preview a clearer version before downloading.
Prepare anime image upscaling pages for later model-specific support.
Improve image dimensions and preview before AI enhancement.
Enlarge images with browser-based Real-ESRGAN processing and compare the result before downloading.