Real camera fingerprints. Real answers for integrity cases.
Veritas delivers camera fingerprint analysis for image integrity cases. Upload a disputed figure and same-camera references — or check a figure against cameras your lab has already registered. You get a PDF report with evidence strength (how solid the comparison is) and a clear supports / unclear / contradicts result. For integrity teams, editors, and imaging cores — when you need an answer, not another platform brochure.
Most buyers start with single-case analysis; institutions add a device library when they’re ready.
Single-case analysis
The flexible one. One figure you do not trust, plus 5–13 photos from the same camera. No enrollment required.
Quick check: Fast answer in the browser.
Full analysis: More references, stability testing, stronger report for committees and counsel.
Enroll & verify library
The institutional one. Enroll real lab cameras once. Later, researchers or specialists upload figures and see ranked matches against registered equipment.
Match grid — which enrolled device best fits the upload
Fingerprint similarity map — visual guide alongside the official match scores
How camera fingerprint analysis works
No new vocabulary required — upload images, run analysis, read the report.
Bring images. Disputed figure plus references from the camera you believe was used — or one figure against your org’s registered cameras.
Run analysis. Veritas checks whether references hang together before it calls a match (mixed pipelines and weak fingerprints show up in the report).
Use the report. Evidence strength, match result, and charts you can file with an integrity case or share with authors.
Under the hood: standard PRNU (camera sensor fingerprinting). We store device fingerprints for enrolled cameras, not your full image archive. Explore live video deepfake detection and vali.now services for related forensic offerings.
Who it’s for
Research integrity offices
Journal editors
Imaging cores
University counsel
Publisher consortia
Why now
Image integrity cases are up; spot-checking figures after publication is not enough. Comparing figures to real camera fingerprints — with references you choose — gives labs and journals something concrete to act on. Veritas is built to be usable in a meeting and still hold up when someone asks “show your work.”