AI Image Upscaler

AI Image Upscaler increases pixel dimensions while applying edge-aware sharpening so enlarged photos look crisper than naive bilinear stretch in a basic editor.

Processing stays on your device—useful for enlarging old web assets, small social downloads, or crop zooms without sending IP to external super-resolution APIs.

A client sends a 600 px logo for a billboard mockup—upscaling buys time until vector art arrives.

Family archive scans at low resolution need gentle enlargement before framing prints.

• Enlarge product thumbnails for print catalog layouts
• Upscale cropped faces in event photography deliverables
• Recover detail from compressed WhatsApp image forwards
• Prepare low-res stock previews for internal pitch decks
• Scale game asset sprites for HD remaster prototypes

1. 1Upload one or more low-resolution source images.
2. 2Choose 2× or 4× scale in the options panel—4× demands more memory and time.
3. 3Process and preview upscaled output against the original size readout.
4. 4Download PNG or JPG results individually or as ZIP.
5. 5Run JPEG Compressor if enlarged files exceed upload limits.

• Upscaling cannot invent detail that never existed—start from the least compressed source available.
• Pair with AI Photo Sharpener when edges still look soft after upscale.
• 4× on already-large photos may hit browser memory limits—try 2× twice only if necessary.
• For print, verify effective DPI with Image DPI Checker after upscale.

• Heavy JPEG blocking artifacts upscale into visible squares—source quality caps results.
• First-run model load may take seconds; subsequent images in-session are faster.
• Common mistake — upscaling screenshots of text: OCR or vector PDF beats pixel enlargement.