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)

  1. Identity drift — Does the person still look like the input face, or did the model invent a different one?
  2. Damage repair — Scratches, tears, stains, fade: improved, partial, or failed?
  3. Texture preservation — Paper grain / film character kept vs plastic smoothing.
  4. Unwanted colorization — Did restore-only keep monochrome/sepia, or bleed color?
  5. 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We do not publish fabricated multi-competitor lab tests.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

tears before
Input
tears after
Result
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

water before
Input
water after
Result
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

fade before
Input
fade after
Result
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

colorize before
Input
colorize after
Result
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)

Related: Methodology (claims & research protocol), Restore-only vs colorize, Examples, Old photo restoration.

// Ecosystem //

More Tools to Preserve Your Family Memories

Restore Damage

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

Explore Tool →

Reunite Loved Ones

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

Explore Tool →

Add Person to Photo

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

Explore Tool →

Colorize Black & White

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

Explore Tool →