Ocrolus is an extraction engine with human reviewers in the loop, catching fraud as a by-product of transcribing financial documents. Teams switch to TamperCheck when they already extract data elsewhere and need a fast, private, automated fraud verdict instead.
Why teams look for a Ocrolus alternative
- You already have extraction - you don't need a second platform for it, just an answer on whether the document is fake.
- Human-in-the-loop review means minutes to hours, and it means documents are retained for the reviewers to see.
- Strict data privacy requirements rule out a service that keeps humans in the review path by design.
At a glance
The same fifteen questions we answer on the homepage, with Ocrolus in the third column.
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
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 published
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 |
| 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 published |
| 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 |
Ocrolus figures are taken from their own published material - ocrolus.com product and Detect documentation, checked September 2026. Anything they state about themselves and we cannot verify is marked “their claim”. For the full head-to-head breakdown, see the TamperCheck vs Ocrolus comparison.
What switching gets you
- Results in about a minute, fully automated, no review queue.
- Zero retention - nothing is kept for a human reviewer to examine later.
- A dedicated AI-generation pass for documents fabricated wholesale, which arithmetic reconciliation alone won't catch.
When Ocrolus is still the better fit
- You need guaranteed 99%+ accurate data extraction from messy bank statements and tax returns, and rely on human reviewers for that guarantee.
- You want cashflow analytics and income metrics calculated directly from the documents, not just a fraud verdict.
Separating extraction accuracy from fraud detection
The switch is straightforward when your real need was always fraud detection: point your existing document flow at TamperCheck instead of waiting on Ocrolus's human-reviewed pipeline, and get a verdict in about a minute instead of minutes to hours.
If you still need guaranteed data extraction accuracy - not just a fraud flag - keep whatever gives you that, whether it's Ocrolus or another extraction tool, and add TamperCheck alongside it purely for the forensic pass.
Ocrolus alternative: common questions
Do I lose extraction accuracy by switching from Ocrolus?
If extraction accuracy was the reason you chose Ocrolus, yes - TamperCheck doesn't extract data at all, by design. Most teams that switch were already extracting elsewhere and only used Ocrolus's fraud signals, which is the part TamperCheck replaces.
Is automated forensics as accurate as human review for fraud?
They catch different things. A human reviewer checks that transcribed numbers match the page; they don't examine recompression history or per-field font rendering, and can't reliably spot a document that's internally consistent because it was generated end to end - which is what forensic analysis and a dedicated AI-generation pass are built for.
How much faster is TamperCheck than Ocrolus's review process?
About a minute versus minutes to hours, because there's no human review step in TamperCheck's pipeline. That difference matters most when you need a synchronous decision rather than a queued one.
See how TamperCheck handles your own documents
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