Recreate
Rebuild a photo from tiny or blurry sources — including screenshots from old videos. Same scene, new clarity.
What it does
Reimagines old, blurry, or damaged photos. Composition stays the same; missing detail is generated back.
When to use it
- A tiny thumbnail or social-media save of a photo you no longer have the original of
- A still frame pulled from an old video (VHS, early phone cameras, low-bitrate clips)
- A heavily compressed photo received over messaging apps after repeated re-saves
- Early digital-camera photos shot at 1–3 MP that need to fit a modern frame or print
- Blurry photos of a clear moment you want to preserve — wedding, childhood, family event
When not to use it
- Photos that already look good — Upscale gives you more pixels without the reconstruction
- Cases where absolute pixel-level fidelity matters (forensic work, evidence, legal documents)
- Converting photos into stylized or artistic versions — this model stays true to the original
- Adding new content that was not there (removing people, adding objects, changing backgrounds)
How it works
Recreate uses a generative image-editing model conditioned on the source photo. The model treats your input as a strict guide — composition, lighting, subject, colors — and produces a new high-resolution version that follows that guide faithfully while filling in the detail that the source is missing. Because it is a generative process, minor fine-grained variation from the input is expected; the scene, identity, and overall look do not change. Typical results return in about 15 seconds on GPU infrastructure.
Updates
- v1Apr 14, 2026
Initial release
Specifications
- Approach
- Generative reconstruction — rebuilds a new image faithful to the source
- Ideal source
- Small or blurry photos, video screenshots, heavily compressed images
- Maximum input
- Up to 200 megapixels or 50 MB file
- Supported formats
- JPG, PNG, HEIC
- Scene fidelity
- Preserves composition, lighting, subject, colors
- Typical processing time
- ~15 seconds
- Pricing
- 2.6 credits per image
Frequently asked questions
When should I pick instead of Upscale?
Use Recreate when the source is too small or too blurry for classic upscaling to help — a tiny thumbnail, a screenshot from an old video, a photo that has been re-saved many times. If the source already looks acceptable, use Upscale instead: you will get more pixels without any reconstruction.
Will the result be identical to the original?
Not pixel-for-pixel, no. Recreate is a generative process: it builds a new high-resolution image that is faithful to the original scene, lighting, subject, and composition — but fine-grained detail is reconstructed, not copied. The scene and the people in it will look like themselves; the texture and sharpness will be higher than the source could possibly contain.
Can I use it on video screenshots?
Yes. That is one of the main designed use cases. Pause an old video, take a screenshot, and run it through Recreate to rebuild a proper photo of that moment.
Does it work on extremely old or damaged photos?
Yes, with realistic expectations. Recreate can rebuild detail in mildly damaged scans and old digital photos. For severe physical damage (heavy scratches, missing pieces), the model will fill in plausible detail but cannot recover information that is completely absent from the source.
Will faces still look like the original person?
Yes. The model is conditioned to preserve identity, so recognisable features — facial structure, hair, eye color, expression — are kept. The reconstruction adds the texture and sharpness that was lost in the source, not a different face.
Does Recreate add or remove things from the photo?
No. It is not a generative-fill or content-editing tool. Objects, people, and backgrounds are preserved. What changes is the level of detail, not the contents of the scene.
Is there a watermark on the result?
No. upsa never watermarks or brands output images. The result is yours — save, print, share anywhere.
Where are my photos stored?
Photos are processed temporarily and auto-deleted within 48 hours. We do not keep copies and we do not train models on your photos.
AI results vary
Each generation uses a different random seed, so your result may not exactly match the example shown. If the first try doesn't fit what you had in mind, run it again — output differs noticeably between runs.
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