

Example 01
Portrait detail recovery
Facial detail and hair edges become clearer without changing the original framing.
- Input:
- Portrait photo
- Settings:
- Target 4K, JPG
One page, one complete workflow
Upload an image and create a larger 4K version with cleaner edges and recovered detail for publishing, ecommerce, and presentation use.
Review the input type and core settings before starting your own version.


Example 01
Facial detail and hair edges become clearer without changing the original framing.


Example 02
Packaging edges and surface texture gain clarity for a larger ecommerce export.


Example 03
Small lines and color boundaries become easier to inspect in a larger export.
01
Choose a clear source with the subject in focus and avoid screenshots that already contain heavy compression artifacts.
02
Review the input preview and use the active 4K target with JPG export.
03
Open the result at full size, compare edges and texture, then download only if the enhancement looks natural.
Prepare product photos for larger storefront displays, zoom views, and campaign crops.
Improve a modest-resolution portrait before presentation or layout work.
Create a larger working file for line art, concept art, and print review.
Reduce visible pixelation when an older image must fill a larger slide or screen.
Prepare your input
AI enhancement cannot recover detail that is fully hidden by blur, blocking, or extreme compression.
Upload only images you own or are authorized to enhance and republish.
Know the limits
Fine hair, skin, text, and repeating patterns can gain halos or invented texture.
Motion blur, missed focus, blown highlights, and severe JPEG damage may remain visible.
| Option | Best for | Key difference |
|---|---|---|
| Image Upscaler | Increasing resolution while preserving the frame | Enhances the existing image without adding new canvas area. |
| Image Expander | Creating space around an image | Generates new pixels outside the original boundaries. |
| GPT Image 2 | Creative edits and object or background changes | Changes image content rather than focusing on resolution enhancement. |