Source: https://restorebunny.com/guides/triage-a-photo-restoration-batch/

# Triage a Restoration Batch Before Spending Credits

Sort a photo batch by capture quality, damage and purpose before processing every file.

Restoration techniques2 min readUpdated 16 October 2026

## Try it on your own photo

Repair a copy of your photo, then compare faces and details with the original.

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Quick answer

## The short version

A large batch benefits from triage before paid processing. Group files by their actual needs: better capture, simple preparation, restoration, creative transformation or no change. Select representative sources for a small first pass rather than using credits on many weak duplicates or avoidable capture errors.

## Define the job before editing

A large batch benefits from triage before paid processing. Group files by their actual needs: better capture, simple preparation, restoration, creative transformation or no change. Select representative sources for a small first pass rather than using credits on many weak duplicates or avoidable capture errors.

## Choose a test set with useful variation

Include a clear portrait, a difficult damaged image and a representative group or scene. Check whether the source dimensions and crop suit the intended delivery. Resolve rotation, metadata or format issues using local utilities where that addresses the problem, keeping those steps distinct from AI repair.

## Make the decision from evidence

Use the first results to decide whether the chosen process serves the collection. Record failures and fidelity concerns instead of assuming every image will improve equally. A new scan may be a better use of effort than repeatedly generating from a compressed screenshot.

## A worked planning example

Example: Out of thirty candidates, ten need only orientation and delivery exports, five need recapture and fifteen are restoration candidates. A three-image trial helps define settings and review criteria before processing the rest.

## A practical checklist

1. Group by the real task.
2. Remove avoidable capture and file issues.
3. Test a representative subset.
4. Review results before a full batch.

## Keep a traceable result

Keep the source file, the working copy and the delivery copy as separate items. Record the input and the changes you actually made so another person can understand the result later. These workflow examples are planning examples, not documented customer outcomes or proof of a successful restoration.

## FAQs

Should every old-looking image be sent through AI restoration?

No. Some need only a better capture or a simple local preparation step, while others should remain unchanged for their purpose.

Should I replace my original with the edited copy?

Keep the source unchanged and save a separate working or sharing copy. An export, edit or AI interpretation can omit information that remains useful in the source.

## Sources

Preservation and technical guidance reviewed for this article.

- Library of Congress: [Personal archiving: digital photographs](<https://www.digitalpreservation.gov/personalarchiving/photos.html>)

## Related

- [Open the related free tool](<https://restorebunny.com/tools/photo-contact-sheet/>)
- [Inspect Restoration Differences with Numbered Callouts](<https://restorebunny.com/guides/inspect-restoration-differences-with-callouts/>)
- [Browse photo guides](<https://restorebunny.com/guides/>)
- [Free image tools](<https://restorebunny.com/tools/>)

## Ready to restore your photos?

Upload an image, choose your settings, and preview results with a before/after slider.

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