Choosing a document verification partner is a significant decision. This page helps procurement and operations teams understand how TamperCheck compares to Ocrolus - on pricing, privacy posture, and what it actually takes to get started. Note that TamperCheck works on digital PDFs and scanned hard copies alike - including physical stamp verification and handwritten signature analysis, not just native digital files.
Digital PDFs
text layer + raster analysis
Phone photos & scans
camera captures and flatbed scans
Physical stamp verification
ink bleed, embossing, overlay detection
Handwritten signature analysis
forgery and substitution checks
Documents covered
- TamperCheck.ai
- 100+ document types from 190+ countries
- Ocrolus
- Bank statements, pay stubs, W-2s and tax documents
Forensic checks per document
- TamperCheck.ai
- 200+ forensic layers on every upload
- Ocrolus
- Detect signals - file tampering and metadata manipulation - plus ALGO arithmetic checks
AI-generated documents
- TamperCheck.ai
- Dedicated synthesis pass, resolved to the field
- Ocrolus
- Not a headline claim; the signals target tampering
Image forgery detection
- TamperCheck.ai
- Pixel-level: splice, resave and edge-sharpness deltas
- Ocrolus
- Part of Detect; depth not published
PDF & file structure
- TamperCheck.ai
- Objects, fonts, metadata and editor traces
- Ocrolus
- Yes - file and metadata signals
Malware & file safety scanning
- TamperCheck.ai
- On every upload
- Ocrolus
- Not advertised
Digital signature certificates
- TamperCheck.ai
- Issuer and trust chain verified
- Ocrolus
- Not publishedLimited
Field-level alteration
- TamperCheck.ai
- Yes - the altered field named and located
- Ocrolus
- Signals per document; extracted data is returned separately
Scans, photos & physical marks
- TamperCheck.ai
- Stamps, embossing, signatures, print artefacts
- Ocrolus
- Scans and photos accepted
Automated QC on findings
- TamperCheck.ai
- Every finding re-validated before you see it
- Ocrolus
- Human-in-the-loop review, not an automated pass - and it costs minutes to hours
What you get back
- TamperCheck.ai
- A verdict, the field named, in plain English
- Ocrolus
- Fraud signals plus extracted, human-reviewed financial data
Time to verdict
- TamperCheck.ai
- About a minute, unattended
- Ocrolus
- Minutes to hours - human-in-the-loop review is part of the pipeline
Price per document
- TamperCheck.ai
- $0.50, published
- Ocrolus
- Not publishedLimited
Commitment
- TamperCheck.ai
- None - no seat fees, no minimum, no cap
- Ocrolus
- Enterprise contract, integrated with your loan origination system
How you start
- TamperCheck.ai
- Self-serve - first top-up matched free, live the same day
- Ocrolus
- Schedule a demo
Document retention
- TamperCheck.ai
- Zero - analysed in memory, never written to disk
- Ocrolus
- Documents retained - human review and analytics require it
Training on your documents
- TamperCheck.ai
- Never
- Ocrolus
- Human-in-the-loop review feeds their models
| TamperCheck.ai | Ocrolus | |
|---|---|---|
| Detection depth | ||
| Documents covered | 100+ document types from 190+ countries | Bank statements, pay stubs, W-2s and tax documents |
| Forensic checks per document | 200+ forensic layers on every upload | Detect signals - file tampering and metadata manipulation - plus ALGO arithmetic checks |
| AI-generated documents | Dedicated synthesis pass, resolved to the field | Not a headline claim; the signals target tampering |
| Image forgery detection | Pixel-level: splice, resave and edge-sharpness deltas | Part of Detect; depth not published |
| PDF & file structure | Objects, fonts, metadata and editor traces | Yes - file and metadata signals |
| Malware & file safety scanning | On every upload | Not advertised |
| Digital signature certificates | Issuer and trust chain verified | Not publishedLimited |
| Field-level alteration | Yes - the altered field named and located | Signals per document; extracted data is returned separately |
| Scans, photos & physical marks | Stamps, embossing, signatures, print artefacts | Scans and photos accepted |
| Automated QC on findings | Every finding re-validated before you see it | Human-in-the-loop review, not an automated pass - and it costs minutes to hours |
| What you get back | A verdict, the field named, in plain English | Fraud signals plus extracted, human-reviewed financial data |
| Speed & cost | ||
| Time to verdict | About a minute, unattended | Minutes to hours - human-in-the-loop review is part of the pipeline |
| Price per document | $0.50, published | Not publishedLimited |
| Commitment | None - no seat fees, no minimum, no cap | Enterprise contract, integrated with your loan origination system |
| How you start | Self-serve - first top-up matched free, live the same day | Schedule a demo |
| Data handling | ||
| Document retention | Zero - analysed in memory, never written to disk | Documents retained - human review and analytics require it |
| Training on your documents | Never | Human-in-the-loop review feeds their models |
When to choose TamperCheck
- You already have OCR or extraction and just need to know if the document is fake.
- You need strict data privacy - zero retention - and can't use a service with human reviewers looking at documents.
- You want fast, synchronous results (~1 minute) instead of waiting for a human review queue.
- The cryptographic layer gets the same scrutiny as the pixels. On signed documents we check the signature certificate - issuer, trust-list membership, chain of trust - alongside the metadata and image checks.
When to choose Ocrolus
- You're a lender who needs perfect data extraction from messy bank statements and tax returns, and you rely on human reviewers to guarantee accuracy.
- You want cashflow analytics and income metrics calculated directly from uploaded documents.
Automated forensics vs. human-in-the-loop extraction
Ocrolus is an extraction engine first. Human reviewers guarantee 99%+ accuracy on the data they pull from financial documents, and they catch fraud as part of that process. TamperCheck is a pure software forensic engine.
If your main problem is "we need this bank statement transcribed into JSON perfectly," Ocrolus is built for that - with human reviewers in the loop, and the latency and retention that implies. If your problem is "we already extract the data, but we keep getting burned by photoshopped PDFs," TamperCheck gives you a fast, private, $0.50 API to catch the fakes without adding human latency.
TamperCheck vs Ocrolus: common questions
What is the best Ocrolus alternative for fraud detection?
TamperCheck.ai, if fraud rather than extraction is the problem. Ocrolus transcribes financial documents accurately. TamperCheck proves one was altered, names the specific field, no human reviewers in the loop - no review latency, no retained copies.
Do I still need extraction if I use TamperCheck?
Most teams already have it, which is exactly why TamperCheck stays narrow. If you extract data today - in-house, through Ocrolus, or any IDP vendor - TamperCheck adds the forensic layer on the same file without duplicating your pipeline.
Is human review more accurate than automated forensics?
They catch different things. A human reviewer verifies that transcribed numbers match the page. They're not examining recompression history or per-field font rendering, and they can't see a document that was generated end to end with internally consistent values. That's what a forensic pass and a dedicated AI-generation check are for.
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