Quality Rubric

Photo restoration quality benchmark

Published 19 July 2026 · Last updated 12 August 2026

This page explains how we evaluate BringBack restoration demos made from images we own. Research standards for competitor comparisons are documented separately in our methodology. The demo rows do not compare multiple vendors and cannot establish historical color accuracy.

Quality dimension glossary

Identity drift: The restored face no longer matches the person in the input—for example, age, expression, eye shape, or jawline changes. Compare the result with the source before printing or sharing.
Damage repair: The extent to which scratches, tears, stains, and fading are reduced. Content added to a missing area is a plausible reconstruction, not recovered evidence.
Texture preservation: Whether useful paper or film texture remains without turning skin into an unnaturally smooth surface.
Unwanted colorization: Whether restore-only adds color that was not requested. Colorize mode is an interpretation, not proof of the original dyes or scene colors.
Artifacts: Warping, double edges, mushy regions, color bleed, seam lines at fill boundaries.

Evaluation dimensions (rubric)

Identity drift — Does the person still look like the input face, or did the model invent a different one?
Damage repair — Scratches, tears, stains, fade: improved, partial, or failed?
Texture preservation — Paper grain / film character kept vs plastic smoothing.
Unwanted colorization — Did restore-only keep monochrome/sepia, or bleed color?
Visible artifacts — Warping, double edges, mushy skin, color bleed.

Sample & method

Demo set: owned product samples representing common family-print damage.
Modes tested: restore-only and restore+colorize where relevant.
Every row shows input and output, including known failure modes in notes.
Opinion (what “looks good”) is separated from observable notes above.
When the production model/pipeline changes, we will date the update on this page rather than silently rewriting scores.

We do not publish fabricated multi-competitor lab tests. Public pricing and workflow differences vs tools like Remini or MyHeritage are discussed on comparison pages without invented sample sizes.

Demo cases (owned assets)

Torn print (demo asset)

Mode: Restore only

Identity: Face mostly intact; edge reconstruction invents texture outside the tear.
Damage repair: Tear line reduced; large missing paper is filled, not recovered.
Texture: Paper grain partially preserved.
Colorization: No forced colorization.
Artifacts: Possible soft blend at fill boundaries.

Water-stained print (demo asset)

Mode: Restore only

Identity: Depends on how much face remains under stain.
Damage repair: Stain area reconstructed from context.
Texture: May smooth heavily damaged patches.
Colorization: No forced colorization.
Artifacts: Invented detail in wiped regions.

Yellowed / faded print (demo asset)

Mode: Restore only

Identity: Usually stable when structure remains.
Damage repair: Tonality recovery; not original darkroom truth.
Texture: Grain may reduce with aggressive cleanup.
Colorization: No forced colorization.
Artifacts: Possible contrast shift.

B&W childhood photo (demo asset)

Mode: Restore + colorize

Identity: Color can change perceived age/look of skin and clothes.
Damage repair: N/A — colorization focus.
Texture: May look smoother than monochrome original.
Colorization: Interpretation only — not historical proof.
Artifacts: Color bleed possible on edges.

Limitations — what this page is not

Not a promise that every family photo will match these demos
Not forensic recovery of missing faces
Not proof of original film dye colors
Not a substitute for a paper conservator on unique physical objects
Not a controlled comparison of multiple restoration products
Not the place for full competitor pricing/privacy editorial rules (see methodology)

Ecosystem

More Tools to Preserve Your Family Memories

Every tool in our suite is designed to handle archival family records with historical fidelity.

Restore Damage

Repair scratches, tears, and sepia fading while preserving authentic facial character.

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Reunite Loved Ones

Combine separate individual photos into one natural, high-definition family portrait.

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Add Person to Photo

Seamlessly insert a missing relative or passed loved one into an existing family snapshot.

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Colorize Black & White

Bring historical black & white photographs to life with historically accurate realistic colors.

Explore tool