What Is Klippa?

If you have researched document automation, Klippa is one of the names that comes up. It appears in OCR and intelligent document processing roundups, identity-verification shortlists, and comparisons for teams that need to read data off invoices, receipts, and IDs. The part worth getting clear on is what Klippa actually is, because it is broader than a pure data extraction tool: it pairs document processing with identity verification and fraud detection. This article explains what Klippa is, what its DocHorizon platform does, whether it handles KYC, what it costs, where its limits show up, and when teams pick a focused alternative.

What is Klippa?

Klippa is a Netherlands-based software company that builds AI-powered document processing and identity-verification software. Its main platform, DocHorizon, does template-free OCR and data extraction, document classification and conversion, document and identity verification, fraud detection, and data anonymization, supporting many document types out of the box across financial, identity, and logistics categories. It is delivered through native iOS and Android SDKs, a web SDK, and a JSON REST API, which means it is built to be embedded into your own application. Klippa has more recently also marketed the platform under the name Doxis AI.dp. The short version: Klippa is a broad capture and identity platform, not only a data extraction tool.

What is Klippa DocHorizon?

Klippa DocHorizon is Klippa's intelligent document processing platform, the product most people mean when they say Klippa. It reads documents with OCR and AI, classifies them, converts file formats, extracts named fields, and verifies both documents and identities, with fraud detection and anonymization built in. Because it covers extraction and identity verification in one platform, it is often chosen by teams that need both, for example a fintech that has to onboard a customer (verify their ID) and also process the financial documents they submit. That breadth is the platform's defining feature, and it is the thing to weigh when you compare it with a tool that does extraction alone.

What is Klippa used for?

Klippa is used for two related jobs. The first is document data extraction: reading invoices, receipts, contracts, statements, and similar documents and returning structured fields you can push into your systems. The second is identity verification: confirming that a passport or ID card is genuine and belongs to the person presenting it, for KYC and AML compliance. Companies use it to automate accounts payable, expense processing, and onboarding, and to cut the manual review behind customer verification. If your need is only one of those jobs, it is worth knowing the platform is built to do both.

Does Klippa do identity verification?

Yes. Identity verification is a core part of Klippa DocHorizon. It verifies passports and ID cards, extracts the required fields such as name, nationality, and date of birth, and runs authenticity and fraud checks using biometric and selfie matching, RFID-chip reading, and image-forensics technology, delivered through mobile and web SDKs so it can sit inside an onboarding flow. This makes Klippa a strong choice when KYC or AML verification is part of your workflow. It also means that if you only need to read data out of business documents, you are looking at a platform with a large capability you will not use.

Does Klippa use OCR?

Yes. OCR is the foundation Klippa is built on. Optical character recognition converts the document image into machine-readable text, and Klippa's AI models then classify the document and pull the named fields out of it, returning structured data rather than raw characters. The same OCR and forensics technology underpins its identity checks, reading the data on an ID and validating it. OCR on its own returns text and its position on the page; a full extraction or verification workflow returns labeled fields, validated and ready for a decision, which is what Klippa aims to deliver.

How much does Klippa cost?

Klippa is a paid, proprietary SaaS platform, and it does not publish a standard public price. Pricing is provided on request, typically scoped per project to your document and verification volume and which modules you turn on, so the cost depends on the deployment and usually starts with a sales conversation. That model suits larger, multi-module rollouts. It is less convenient for a team that wants to start small, forecast cost from its own volume, and avoid a negotiation, which is one reason teams with a narrower need look at a self-serve, per-page alternative.

What are the limitations of Klippa?

Klippa is a capable platform, but teams cite a few common reasons they shop for an alternative. It is broad, combining extraction with identity verification, fraud detection, and anonymization, which is more than a team that only needs to read data out of documents wants to buy and integrate. It is delivered largely through SDKs and an API you build into your own application, so there is engineering work to stand it up and a workflow to assemble. Pricing is quote-based rather than self-serve. And it is a Netherlands-based vendor whose servers default to the EU and whose compliance framing centers on GDPR, which is a consideration for a US team that wants US data handling.

When should you use a Klippa alternative?

Use an alternative when your job is reading data out of business documents and you do not need identity verification. In that case a focused product gets you there with far less to buy and integrate. A focused document data extraction tool classifies a mixed batch, reads any layout, extracts the fields you define, routes low-confidence reads to a built-in reviewer, and exports clean data, with the review screen and dashboard already built and pricing you pay per page. DocuOCR is that kind of tool: it is built on intelligent document processing, uses document classification to sort a mixed stack, and returns named fields through a dashboard or a single OCR API call, with US data handling. If you want to understand the difference between reading text and returning structured fields, our explainer on OCR versus data extraction covers it, and you can compare the two products directly on the Klippa alternative page. And if all you actually need is to turn a PDF document into a spreadsheet for a one-off task, a single-purpose PDF to Excel converter may be all it takes.

Klippa is a strong, broad platform, especially when identity verification is part of what you do. The honest question is whether you need that breadth. If you do, it is a serious option. If your job is extraction, a focused product you can test on your own documents the same day, with self-serve pricing and US data handling, usually fits better, and it is worth running your real files through both before you decide.