Koncile bundles EU-hosted extraction with a 0-to-1 fraud risk score. Teams switch to TamperCheck when they already have extraction and need the specific field named instead of a score, or when their documents run beyond B2B finance.
Why teams look for a Koncile alternative
- A risk score still leaves the decision to the analyst. A 0.82 tells you how worried to be, not what to challenge.
- You already extract data elsewhere - buying a second IDP platform for the fraud module is more consolidation than you need.
- Your fraud isn't only semantic. Koncile's checks lean on business-rule reconciliation; smoothed pixel-level edits that still reconcile perfectly need a different kind of check.
At a glance
The same fifteen questions we answer on the homepage, with Koncile in the third column.
Documents covered
- TamperCheck.ai
- 100+ document types from 190+ countries
- Koncile
- B2B finance and identity: invoices, statements, payslips, cheques, passports
Forensic checks per document
- TamperCheck.ai
- 200+ forensic layers on every upload
- Koncile
- Forensic analysis plus ML and semantic business-rule checks
AI-generated documents
- TamperCheck.ai
- Dedicated synthesis pass, resolved to the field
- Koncile
- Detects tampered, forged and AI-generated documents (their claim)
Image forgery detection
- TamperCheck.ai
- Pixel-level: splice, resave and edge-sharpness deltas
- Koncile
- Part of the forensic layer; depth not published
PDF & file structure
- TamperCheck.ai
- Objects, fonts, metadata and editor traces
- Koncile
- Yes, alongside metadata
Field-level alteration
- TamperCheck.ai
- Yes - the altered field named and located
- Koncile
- No - a 0-to-1 risk score for the document
Scans, photos & physical marks
- TamperCheck.ai
- Stamps, embossing, signatures, print artefacts
- Koncile
- Handwriting and skewed scans handled, for extraction
Automated QC on findings
- TamperCheck.ai
- Every finding re-validated before you see it
- Koncile
- Not published
What you get back
- TamperCheck.ai
- A verdict, the field named, in plain English
- Koncile
- A 0-to-1 risk score, with extraction in the same call
Time to verdict
- TamperCheck.ai
- About a minute, unattended
- Koncile
- Not published
Price per document
- TamperCheck.ai
- $0.50, published
- Koncile
- Not published - fraud detection quoted per page or per image
Commitment
- TamperCheck.ai
- None - no seat fees, no minimum, no cap
- Koncile
- Fraud detection is Enterprise-contract only; OCR starts at EUR 199/mo
How you start
- TamperCheck.ai
- Self-serve - first top-up matched free, live the same day
- Koncile
- 20 free credits for extraction; fraud detection needs a demo
Document retention
- TamperCheck.ai
- Zero - analysed in memory, never written to disk
- Koncile
- Stored in the EU - AWS Paris, DR in Frankfurt. SOC 2 Type II, HDS
Training on your documents
- TamperCheck.ai
- Never
- Koncile
- Not addressed in published material
| TamperCheck.ai | Koncile | |
|---|---|---|
| Detection depth | ||
| Documents covered | 100+ document types from 190+ countries | B2B finance and identity: invoices, statements, payslips, cheques, passports |
| Forensic checks per document | 200+ forensic layers on every upload | Forensic analysis plus ML and semantic business-rule checks |
| AI-generated documents | Dedicated synthesis pass, resolved to the field | Detects tampered, forged and AI-generated documents (their claim) |
| Image forgery detection | Pixel-level: splice, resave and edge-sharpness deltas | Part of the forensic layer; depth not published |
| PDF & file structure | Objects, fonts, metadata and editor traces | Yes, alongside metadata |
| Field-level alteration | Yes - the altered field named and located | No - a 0-to-1 risk score for the document |
| Scans, photos & physical marks | Stamps, embossing, signatures, print artefacts | Handwriting and skewed scans handled, for extraction |
| Automated QC on findings | Every finding re-validated before you see it | Not published |
| What you get back | A verdict, the field named, in plain English | A 0-to-1 risk score, with extraction in the same call |
| Speed & cost | ||
| Time to verdict | About a minute, unattended | Not published |
| Price per document | $0.50, published | Not published - fraud detection quoted per page or per image |
| Commitment | None - no seat fees, no minimum, no cap | Fraud detection is Enterprise-contract only; OCR starts at EUR 199/mo |
| How you start | Self-serve - first top-up matched free, live the same day | 20 free credits for extraction; fraud detection needs a demo |
| Data handling | ||
| Document retention | Zero - analysed in memory, never written to disk | Stored in the EU - AWS Paris, DR in Frankfurt. SOC 2 Type II, HDS |
| Training on your documents | Never | Not addressed in published material |
Koncile figures are taken from their own published material - koncile.ai - product and pricing pages, 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 Koncile comparison.
What switching gets you
- The altered field, named - not a 0-to-1 number an analyst still has to act on.
- 190+ countries, 100+ document types - beyond B2B finance into identity, credentials, tenancy and medical records.
- Zero retention, not just EU residency - if the real requirement is "documents must not be retained", that's a shorter conversation than certified storage.
When Koncile is still the better fit
- Your contract specifically requires EU-hosted, ISO-certified storage rather than no storage at all.
- You want extraction and fraud detection bundled in a single contract rather than running a forensic layer alongside your existing pipeline.
Moving from a risk score to a named finding
The switch is conceptually simple: your workflow currently branches on a score threshold; it will branch on whether any high-confidence finding was returned, with the field and reason attached. Analysts generally adapt faster than the integration does, because a named field is easier to act on than a number they had to interpret from experience.
If Koncile is your only extraction layer today, keep it - TamperCheck doesn't extract, by design. The clean split is Koncile (or whatever pulls structured data from your documents) feeding your systems, and TamperCheck running the forensic pass on the same file alongside it.
Koncile alternative: common questions
Can I keep Koncile for extraction and add TamperCheck for fraud?
Yes, and that's the cleanest way to run both. Keep your extraction pipeline where it is, and call TamperCheck as a separate check on the same file - you get 200+ forensic layers and per-field tamper localisation without disrupting how documents move through your system.
Does TamperCheck require EU hosting?
It doesn't offer or need it, because nothing is retained. If your compliance requirement is specifically "documents must stay in the EU", Koncile's certified hosting answers that directly; if the underlying concern is retention itself, zero retention removes the question.
Is a named field really better than a risk score?
For any decision that has to be explained or defended - to a customer, an auditor or a complaint reviewer - yes. A score says how confident the system is; a named field says what to look at.
See how TamperCheck handles your own documents
Add your first top-up and we'll match it in free credits. No contract, no minimum commitment. Upload your first document and get a verdict in about a minute.
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