Automated document tampering detection that scales with your volume.
Automated document tampering detection is the use of software - not human reviewers - to determine whether a document has been edited, forged, or AI-generated. TamperCheck.ai automates 130+ forensic checks per document and returns a structured verdict in about a minute, with zero human in the happy path.
The problem
Why manual review can't keep up with document volume
A skilled manual reviewer takes 5–15 minutes per document and catches roughly 1 in 5 sophisticated edits. At any meaningful volume - a few hundred documents a day - manual review becomes a bottleneck and a false-negative machine.
Automation changes both numbers. TamperCheck runs the same 130+ forensic checks on every document, regardless of volume. Verdict latency stays under a minute whether you submit 10 documents or 10,000. And because the system inspects things humans can't see - PDF font tables, pixel-level noise, producer metadata - the detection rate is dramatically higher than manual review.
Automated tampering detection isn't about replacing your compliance team. It's about pointing them at the documents that actually need attention.
What we detect
Forensic signals that expose fraud
Fully automated pipeline
Submit a document via API; receive a structured verdict, risk score, and region-level findings. No human review needed in the happy path.
Consistent check coverage
Every document gets the same 130+ checks. No 'the reviewer was tired' false negatives, no inconsistent rigor between reviewers.
Sub-minute verdict latency
Verdicts return in about a minute per document, regardless of submission volume. Async webhooks for batch workflows.
Risk score gating
Calibrated 0–100 risk score lets you auto-approve low-risk, auto-flag high-risk, and only send the ambiguous middle to human review.
Plain-English findings
When a document is flagged, the report tells your team exactly what was detected and where - not just 'suspicious.'
Audit trail
Every verdict is logged with the specific checks that triggered it, supporting compliance review and regulatory audit.
The solution
How automated document tampering detection works in TamperCheck
TamperCheck exposes a single REST endpoint: POST a document, get a verdict. Behind that endpoint is a pipeline that runs structural forensics, computer vision, and AI adjudication on every file - automatically, every time.
How it works
- Single API endpoint - no per-document-type configuration
- Sync or async - choose immediate response or webhook callback
- Auto-routing - approve, flag, or escalate based on risk score
- Batch upload supported - drop a folder, get a report
- SDKs available - Node, Python, Go, plus REST for everything else
- Webhook signing - HMAC-signed webhooks for production integrations
- Zero storage - documents processed ephemerally, no retention
FAQ
Common questions
See it working on your documents
Start with $5 in free credits - no contract, no card required. Upload your first document and get a verdict in about a minute.