Face Restoration for Insurance & Claims
What face restoration does for insurance & claims footage, when it helps, and how BetterVideo's API applies it to the real capture.
🔒 Footage deleted on your schedule — with a certificate to prove it
- Adjusters need to read damage detail — cracks, water lines, VINs — that poor footage hides.
- Claimant footage is personal data; keeping it around indefinitely is a liability.
- Volume is high and per-claim — you need it programmatic, not a desktop app.
Where face restoration helps
Claim and incident footage often catches people at a distance — a claimant, a witness, a third party — with faces too degraded to make out. GFPGAN restores facial detail so the footage is easier to review, while the original stays the record. The model reconstructs plausible detail rather than measuring it, so the restored frame is an aid, not evidence of who someone is.
How BetterVideo does it
BetterVideo applies face restoration through one REST call — GFPGAN v1.4 reconstructs degraded faces so features are more legible — and for insurance & claims, brightens and sharpens dark, shaky claim clips so an adjuster can read the damage — per second, per claim — then deletes them on your schedule.
Common questions
Can it recover a clear face from a distant claim clip?
It reconstructs plausible facial detail to make a face more legible for review — treat the result as an aid alongside the original, not as proof of identity.
Is the restored face accurate enough to rely on?
No — face super-resolution reconstructs plausible detail the source didn't clearly contain, so keep the original as the record and use the restored version only to review.
Face Restoration for your footage
One REST call to enhance — deleted on your schedule, with a certificate to prove it.
Get your API key →