Is Klippa the same as VerifyPDF?
Not really, and the shape of the product is where the difference starts. Klippa sells an Intelligent Document Processing platform, recently rebranded from Klippa DocHorizon to Doxis AI.dp, that covers OCR, document classification, structured extraction and a fraud detection module in one package. The fraud layer uses EXIF analysis, duplicate detection, copy-move checks and pixel-level analysis, and it ships alongside the rest of the IDP pipeline rather than as a standalone service.
VerifyPDF is built the other way around. It is a forensic fraud detection API, full stop. One REST endpoint returns whether a bank statement, payslip or tax return looks authentic, with no OCR or extraction bundled in. Teams that already have a data extraction layer in place use VerifyPDF to add an authenticity verdict without importing a full IDP platform.
When Klippa is the right choice
Pick Klippa when the buying brief is IDP plus fraud under one European contract. Finance, insurance, logistics, retail and HR teams that want OCR, classification, extraction and fraud checks from a single Dutch-headquartered vendor with GDPR-native positioning find Klippa easy to sign. The β¬25 free credit tier makes it easy to pilot before a purchase call, and the ISO 27001 and ISAE 3000 Type II certifications on the compliance page keep procurement teams comfortable.
Klippa also makes sense when you need a managed platform rather than raw APIs. The Doxis AI.dp hub ships connectors, workflow tooling and case studies with European customers like Trading 212, SNCF and Modifi, which shortens the distance between a proof of concept and a production rollout for teams that want the wider platform story rather than building their own.
When VerifyPDF is the right choice
Pick VerifyPDF when you already have OCR or extraction in the stack and only need a focused forensic verdict. Lenders running origination, insurers running claims on statements, landlords screening tenants and marketplaces verifying seller payouts often already extract data with another tool. A single REST call that returns an authenticity verdict slots in without dragging along a full IDP platform, which keeps the integration thin and the cost model simple.
VerifyPDF also fits when pricing transparency is a deal breaker. The pricing page publishes prepaid bundles starting at $0.09 per document at the 10,000-document tier, with no annual contract and no seat fees. Finance can build a cost model against their own document volume before talking to anyone, and risk teams at lenders, insurers and landlords can right-size the bundle once their own sample data is validated.
Pricing and procurement
Klippa is one of the more transparent European IDP vendors on entry cost. The platform ships with β¬25 in free credits to get started, then shifts to license or usage-based pricing tailored to document volume and complexity. That model works well for mid-market buyers who want to pilot before a contract, but it still lands on a custom quote, which means final per-document cost is not visible until a sales conversation happens.
VerifyPDF publishes the per-document rate up front. Prepaid bundles start at $0.09 per document, never expire and do not require an annual commitment. Risk teams typically start with the smallest bundle, validate against a sample of their own statements or payslips, then scale the bundle as coverage is dialled in. Procurement compresses into two steps: pick a bundle and pull an API key.
Migration from Klippa
Most teams do not migrate fully, because Klippa covers more of the pipeline than VerifyPDF does. If you only rely on Klippaβs fraud module today, export a quarter of your document volume to understand the mix of bank statements, payslips and tax returns flowing through, size a VerifyPDF prepaid bundle against that volume and repoint the fraud checks to VerifyPDFβs REST endpoint. Keep Klippa in place for OCR and extraction if those still add value in the rest of the pipeline.
Two practical notes for the cutover. First, name the services cleanly in your code so future readers can tell which vendor handles which layer. Second, keep the Klippa integration warm for a few cycles after cutting traffic to VerifyPDF so you can diff verdicts on the same documents, confirm the forensic layer agrees on edge cases and only then retire the Klippa fraud module if it is no longer paying for itself.