Document tampering signals, explained in plain language.
The moment a file arrives, Truvasse fingerprints it and runs its forensics engine across seven areas. Each finding comes with an attention level, a plain-language summary, the method used and where it was found.
The seven areas Truvasse examines
Every finding is labelled with its area, so a reviewer knows exactly what it is.
File integrity
Whether the file itself shows signs of tampering.
From request to a decision you can stand behind.
Four steps, in the order a careful reviewer would take them.
Request
Send each person a secure, one-time link listing exactly what to provide. No account to create.
Three attention levels, no verdicts
A reviewer's eye goes straight to what matters.
- For information: context the reviewer may want.
- Worth noting: something to consider.
- Needs a closer look: review this before deciding.
- Truvasse never decides; it hands the reviewer the evidence, method and location.
Evidence you can trust. Decisions you can defend.
A wrong flag can cost someone a job or a loan. Nothing here happens on a machine's word alone.
Evidence, not accusation
Truvasse shows what it found and why it might be innocent. It never declares a document genuine or fake. A person always makes the call.
Frequently asked questions
Can Truvasse detect AI-generated documents?
Truvasse reports forensic signals across structure, metadata, visual content and consistency, which can surface documents built from templates or edited after issue. It does not label any document fake or AI-generated; a reviewer decides.
Which file types are analysed?
Documents and images uploaded to a case, including PDFs and photos captured with the phone camera.
What happens when the engine improves?
A new engine version produces a new, separate run. Earlier findings are never rewritten, and you always see which version produced each finding.