# Automated Document Tampering Detection > 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. **Canonical URL:** https://tampercheck.ai/automated-document-tampering-detection --- ## 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 TamperCheck detects ### 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. ## 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. - **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 ## Frequently asked questions ### What is automated document tampering detection? Automated document tampering detection is the use of software to identify edited, forged, or AI-generated documents without manual review. A typical automated pipeline runs structural PDF analysis, pixel-level forensics, metadata audit, and AI-generation detection on every submitted document, returning a verdict and risk score in under a minute. ### Is automated tampering detection as accurate as manual review? More accurate, on most benchmarks. Manual review catches roughly 1 in 5 sophisticated edits; automated systems like TamperCheck catch 9 in 10 because they inspect things humans can't see - PDF font tables, pixel-level noise, producer metadata. The right model is augmentation: automate the bulk of decisions, route ambiguous cases to humans. ### How do I integrate automated tampering detection into my workflow? Most teams add it as a single API call between document upload and human review. Submit the document, get a verdict, branch the workflow on the result: auto-approve below a risk threshold, auto-flag above it, send the middle band to a reviewer. Integration takes under 30 minutes with TamperCheck. ### What document types does automated tampering detection support? TamperCheck supports any document type - bank statements, payslips, identity documents, invoices, certificates, contracts. The forensic checks are document-agnostic; specific business logic (e.g., running balance arithmetic on statements) is applied automatically based on document classification. ### Can automated tampering detection run in real time? Yes. Verdict latency is about a minute per document, which is fast enough for real-time onboarding flows. For applications that need sub-second response, run the API call asynchronously and use webhooks to update the workflow when the verdict returns. ## Related use cases - https://tampercheck.ai/use-cases/kyc-identity-verification - https://tampercheck.ai/use-cases/lending-credit - https://tampercheck.ai/use-cases/insurance-claims - https://tampercheck.ai/use-cases/hr-hiring ## Compare with alternatives - https://tampercheck.ai/compare/inscribe-vs-tampercheck-ai - https://tampercheck.ai/compare/ocrolus-vs-tampercheck-ai - https://tampercheck.ai/compare/resistant-ai-vs-tampercheck-ai --- Try TamperCheck free: https://tampercheck.ai/dashboard · Docs: https://tampercheck.ai/docs · Pricing: https://tampercheck.ai/pricing