Does AI upscaling actually recover real detail that was in the original photo?

It reconstructs plausible detail based on patterns learned from millions of images — it does not recover pixels that were never captured. The result is sharper and more usable than traditional resizing, but it is an intelligent estimate, not a literal restoration.

What image formats does this tool support?

JPEG, PNG, and WebP are supported for both input and output. Animated GIFs and RAW camera files are not supported by this tool.

Is there a file size limit?

Free upscaling supports images up to 10 MB. For larger files or batch upscaling of multiple images, a premium plan is recommended.

Is the tool free to use?

Basic upscaling is free. Because AI processing is resource-intensive, high-resolution output and batch jobs are available under premium plans at competitive rates.

Are my photos kept private?

Yes. Your images are temporarily processed on secure servers and deleted automatically after the job completes. We do not retain, analyze, or share your photos.

Will upscaling work well on portraits and faces?

Yes, the AI model handles faces particularly well, reconstructing skin texture, eyes, and hair detail that lower-resolution sources lose. Results vary by original image quality.

Can I use this on my phone?

Yes. Processing happens server-side, so even older or lower-powered phones can upscale images — just open the page in your mobile browser and upload your file.

Image upscale — Free Online | KolayDönüştür

Drop image

max 2 MB · PNG/JPG/WebP · sharpened upscaling, not AI (CPU, 100% free, ~30-60s) · Max 2MB

2× is free · 4× will be queued (coming soon). Max 2 MB input for now — CPU processing limit.

Auto-deleted in 7 days

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Your files are encrypted with SSL and automatically deleted from our servers 7 days after processing.

📖 How to Use

Upload image

Drag JPG/PNG/WebP/HEIC files.

Pick settings

Format / size / quality / background.

Convert

Click to start.

Download

Get the result; batches arrive as ZIP.

Image Upscale (2x/4x)

📖 How to Use