This guide walks you through upscaling and enhancing your images with ImageEnhance AI. It's a four-step workflow that turns low-quality images into sharp, high-resolution files.
How to Enhance Images
Start by selecting the folder containing the images you want to enhance. ImageEnhance AI supports all common formats including JPG, PNG, BMP and more.
Key features: batch processing, recursive folder scanning for nested directories, preview thumbnails, and filtering by image type and size.
Customize the enhancement: choose the magnification level (2x, 4x, 8x or 16x), the output format (PNG for lossless, or WEBP for efficient), and select the destination folder for processed images.
Options: noise reduction (low/medium/high) and sharpening for extra clarity.
Initiate the enhancement process and monitor progress in real time. ImageEnhance AI uses advanced neural networks to analyze and upscale your images while preserving quality and detail.
Highlights: real-time progress per image, previews before completion, pause/resume for long batches, and detailed statistics.
When processing is complete, review your enhanced images in the output directory. Compare before-and-after results with side-by-side previews and access the enhancement report.
Tips for the Best Results
- Start from the best source — the highest-resolution original gives the best upscale.
- 2x is very safe; use 4x for big enlargements and incremental upscaling for larger sizes.
- PNG is lossless — best for printing and archiving; WEBP is smaller for the web.
For specific scenarios, see our guides: upscale without losing quality and upscale photos for printing.
System Requirements
- Minimum: Windows 7+ / macOS 10.13+, 8GB RAM, 2GB VRAM GPU.
- Recommended: 16GB RAM, GTX 1060+ / RX 580+ with 4GB+ VRAM for faster batch processing.
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