DocuOCR is the Klippa alternative for teams that want focused document data extraction, not a broad capture and identity-verification suite. It classifies a mixed file, reads any layout, extracts the fields you define, checks them, sends uncertain values to a built-in reviewer, and exports clean data, with US data handling and self-serve per-page pricing, and no KYC or fraud module you have to buy and integrate.
Built for US teams who looked at Klippa and realized they needed to read data out of documents, not verify identities: business users get a dashboard, developers get one REST API, and you start on your own files the same day.
Upload a document to extract
Drop files here or click to upload
Up to 50 files
Free plan extracts the first 5, rest can be unlocked after
Uploading...
Drop in a document you process with Klippa and watch DocuOCR classify it, read it, and return named fields, free, no signup required.
Klippa is a capable, well-built platform. Its DocHorizon product reads invoices, receipts, contracts, IDs, and dozens of other document types with template-free OCR, classifies and converts them, and goes further than most extraction tools by adding identity verification: it verifies passports and ID cards for KYC and AML, runs biometric, selfie, and RFID-chip checks, detects document fraud, and anonymizes sensitive data. That breadth is exactly its strength. If you need both document extraction and identity verification in one platform, Klippa is a serious option. The reasons teams shop for an alternative usually come down to two things: scope, and where the product is built and run.
The first point is scope. A lot of teams do not need identity verification at all. They need to read the data out of business documents, invoices, statements, forms, contracts, and route it into their systems. Buying a platform that bundles KYC, fraud detection, biometric matching, and anonymization means paying for and integrating capabilities the job does not call for, and Klippa is delivered largely through mobile and web SDKs and an API you build into your own application, so there is real engineering work to stand it up. A focused product that just classifies, reads, extracts, validates, and exports, with the review screen and dashboard already built, gets the extraction job done with far less to buy and wire up.
The second reason is geography and data handling. Klippa is a Netherlands-based vendor whose servers default to the EU and whose compliance framing centers on GDPR and an EU data processing agreement. That is a good fit for European buyers. For a US team, US data handling and a US-oriented product are often the cleaner choice. DocuOCR is a focused, general-purpose document data extraction product built for US businesses: it classifies the file, reads any layout, extracts the fields you define, validates them, routes anything uncertain to a built-in review screen, and exports clean data, in a dashboard for business teams and through one REST call for developers, with self-serve per-page pricing. You can test it on your own documents this week to see the accuracy and the all-in cost before you change anything.
Both extract structured data from documents. The difference is scope and where it runs: a focused document data extraction product with US data handling and self-serve per-page pricing versus a broad capture and identity-verification suite from an EU-based vendor, quoted per project. This is an honest look at where each one fits.
| Factor | DocuOCR | Klippa |
|---|---|---|
| What it is | A focused document data extraction product | A broad capture and identity-verification suite |
| Best fit | Teams that need to read data out of documents | Teams that need extraction plus KYC and IDV |
| Scope | Classify, read, extract, validate, export | Extraction plus identity verification, fraud, anonymization |
| Identity verification | Not included, by design | Core capability (passports, IDs, biometrics, RFID) |
| Who uses it | Business and ops teams, plus developers | Developers building the suite into an app |
| Workflow | Classification, review, and export built in | Largely SDK and API you build the workflow around |
| Data handling | US data handling | Netherlands-based vendor, EU data residency by default |
| Pricing model | Self-serve, per page, workflow included | Proprietary, quoted per project on request |
| Setup | Sign in and process a document | Integrate the SDKs and API into your application |
| Try before you buy | Free on your own files, no signup to test | Request a demo and a quote |
If you need identity verification and KYC alongside extraction, Klippa is a strong, capable platform built for exactly that. If your job is reading data out of business documents and you want a focused product your team can run today, DocuOCR is built on intelligent document processing: it classifies, reads, extracts, validates, and exports, so your team reviews data instead of standing up and integrating a broader suite. If you want the neutral background before deciding, we wrote a full explainer on what Klippa handles.
First separate the jobs: if you need identity verification, compare IDV platforms; if you need to read data out of documents, these are the things that decide whether an alternative fits how your team works and a budget you can plan around.
Look for a product built to classify, read, extract, validate, and export, so you are not buying and integrating a KYC, fraud, and anonymization suite you will not use.
Favor a product that ships the review screen, dashboard, and export, so a business or ops team can run extraction without building an application around an SDK first.
Check where your documents are processed and stored, US data handling matters for a US team, instead of defaulting to a vendor whose servers sit in another region.
Self-serve per-page pricing is easier to plan than a custom quote, so you pay for the pages you process and can forecast cost from your own volume.
Sorts a stack of different document types automatically, so no one pre-separates files before extraction runs.
Lets you check accuracy and the all-in cost per page on the exact documents you process, free and without a signup or a sales call.
On security, the data in your documents often includes names, account numbers, and other sensitive details, so DocuOCR supports your recordkeeping with encryption in transit and at rest, role-based access, a full audit trail of every extraction and review, configurable retention, and US data handling. How records satisfy an internal control or an audit depends on how a system is configured and operated, so ask us about your specific requirements and deployment.
Classify, read, extract, validate. Drop a file in and the whole sequence runs on its own, with no template to build and no application to assemble around an SDK first.
The engine reads a mixed batch and sorts it by document type, so the right extraction runs on each one without anyone separating the stack first.
OCR and ICR convert PDFs, photos, faxes, and scans into machine-readable text, including handwriting and stamps, without per-source tuning for each layout.
DocuOCR pulls the values tied to their labels and returns the fields you defined, so you get structured data instead of just recognized text.
Values run through your rules, low-confidence reads route to review, and clean data exports to a spreadsheet or your systems by API, with an audit trail.
# invoice.pdf -> extracted data (any document type) { "doc_type": "invoice", "vendor_name": "Lakeside Supply Co", "invoice_number": "INV-44821", "total_amount": "18420.55", "confidence": 0.98 } # classified, read, validated, ready for export
Teams that decided a broad capture and identity-verification suite, or a quote-based EU platform, was more than their extraction job called for.
Need to read data out of business documents and do not need KYC, fraud detection, or identity verification bundled in.
Want a dashboard to process documents and review results without engineering having to build a workflow around an SDK first.
Prefer US data handling and a US-oriented product over a Netherlands-based vendor whose servers default to the EU.
Want self-serve per-page pricing they can forecast, instead of negotiating a custom quote for a multi-module platform.
Call a single REST endpoint that classifies, reads, and extracts any document type, with review and export already built.
Prefer a focused product that reads any layout and ships the review and export workflow over integrating a broad suite.
Both Klippa and DocuOCR offer an API, and Klippa adds native mobile and web SDKs aimed at building identity and capture flows into your own app. The difference is what you have to build around it for extraction. With Klippa you integrate the SDKs and API and assemble the review screen, the interface, and the automation yourself. With DocuOCR you post a document to a single endpoint and get back the classified type, the recognized text, and the extracted fields with a confidence score on every value, and the review, validation, and export steps already exist in the product, so you can use the API alone or the dashboard, whichever fits.
# classify + extract in one request curl https://api.docuocr.com/v1/extract \ -H "Authorization: Bearer $KEY" \ -F "file=@scanned_document.pdf" \ -F "classify=true" # -> doc type + named fields + confidence
Klippa is a proprietary platform with pricing on request, typically scoped per project to your document and verification volume and the modules you turn on, so the cost depends on the deployment and usually starts with a sales conversation. Contact Klippa for a figure. DocuOCR is priced per page with classification, review, validation, and export already in the product, no seat licenses and no quote to negotiate before you can start, so you pay for the pages you actually process. Start free to check accuracy on your own documents, then pay per page as your volume grows, with lower committed rates for high volume.
The questions teams ask most when they compare Klippa with a focused, ready-to-use document data extraction product.
The best alternative to Klippa depends on what you actually need. Klippa DocHorizon is a broad platform that pairs document data extraction with identity verification, KYC and AML checks, biometric and ID-document fraud detection, and data anonymization. If your goal is to read data out of business documents and you do not need an identity-verification suite, a focused extraction product is a better fit. DocuOCR classifies a mixed file, reads any layout, extracts the fields you define, validates them, routes low-confidence reads to a reviewer, and exports clean data through a dashboard and one REST API, with US data handling and self-serve per-page pricing. You can test it on your own documents the same day.
Klippa is used for two related jobs: document data extraction and identity verification. Its DocHorizon platform reads invoices, receipts, contracts, IDs, and other documents with template-free OCR, classifies and converts them, and also verifies identity documents like passports and ID cards for KYC and AML, with biometric, selfie, and RFID-chip checks plus fraud detection and data anonymization. That breadth is a real strength for teams that need both extraction and identity verification in one platform. It is also why teams that only need to extract data from business documents look at a more focused alternative, so they are not buying and integrating the wider identity suite.
Klippa is not free for ongoing use. It is a paid, proprietary SaaS platform, and pricing is provided on request rather than published as a public self-serve rate, which usually means a sales conversation and a quote scoped to your volume and the modules you turn on. DocuOCR takes a different approach: you can process documents free to check accuracy on your own files before you commit, and instead of a custom quote you pay per page for what you actually process, with the classification, review, validation, and export workflow already included.
Klippa does not publish a standard public price. As a proprietary platform with both extraction and identity-verification modules, it is typically quoted per project based on your document and verification volume and which capabilities you enable, so you contact Klippa for a figure. That model fits larger, multi-module deployments. DocuOCR keeps it self-serve and per page: one price that already includes classification, human review, validation, and export, no seat licenses and no quote to negotiate before you can start, so you pay for the pages you process and can forecast the cost from your own volume.
Klippa is a capable platform, but teams cite a few common reasons they shop for an alternative. It is broad, combining document extraction with identity verification, KYC, 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. 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. A focused, self-serve product removes those for the extraction-only use case.
It depends on which Klippa capabilities you actually use. If you need full identity verification and KYC, you are comparing platforms in that category. If you mainly need document data extraction, the all-in cost of a broad identity-and-extraction suite, the license plus the integration work, is often more than the job requires. DocuOCR includes classification, human review, validation, export, and a dashboard in one self-serve per-page price, with no quote to negotiate and no application to build first. The honest way to compare is to run your real documents through both and weigh the all-in cost for your actual volume and the modules you genuinely need, which you can do free on DocuOCR.
Yes. Identity verification is a core part of Klippa DocHorizon. It verifies passports and ID cards for KYC and AML, extracts the required fields such as name, nationality, and date of birth, and runs fraud and authenticity checks using biometric and selfie matching, RFID-chip reading, and image-forensics technology, delivered through mobile and web SDKs. That makes Klippa a strong choice when identity verification is part of your workflow. DocuOCR is deliberately a document data extraction product, not an identity-verification platform: it focuses on reading and structuring the data in business documents, so it is the right tool when extraction, not KYC, is the job.
Klippa DocHorizon is Klippa's AI-powered intelligent document processing platform. It 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, and it is delivered through native iOS and Android SDKs, a web SDK, and a JSON REST API. Klippa has more recently also marketed the platform as Doxis AI.dp. DocuOCR overlaps on the extraction side, classifying, reading, extracting, validating, and exporting any document type, but stays focused there rather than spanning into identity verification, and ships the review and export workflow as a ready-to-use product.
Start by separating the jobs. If you need identity verification and KYC, compare platforms in that category. If you need document data extraction, look for accurate reading on your real layouts, built-in document classification so a mixed batch sorts itself, a human review step for low-confidence values, schema-based output that returns named fields, and both a dashboard for business users and an API for developers. Weigh how much you have to build, since an SDK-and-API platform means assembling the workflow yourself, and prefer self-serve per-page pricing over a custom quote so the cost is easy to plan. Favor a tool you can try free on your own documents and start the same day, then check the security controls, encryption, access control, audit logging, and where your data is handled, before you move production volume.
A quick primer on Klippa's document processing before you weigh it against DocuOCR.
The end-to-end IDP workflow that classifies, reads, extracts, and validates documents in one pipeline.
The full platform behind the comparison, with a dashboard for teams who want document data without code.
The single REST call that returns classified type, text, and named fields for your own automation.
How modern OCR reads any layout, handwriting, and scans, the recognition layer under the workflow.
Comparing DocuOCR with Nanonets, for teams weighing a broad automation suite against focused extraction.
Comparing DocuOCR with Mindee, for teams weighing a developer-first API against a ready-to-use product.
Upload a document you process with Klippa, watch DocuOCR classify it, read it, and return named fields, then use the dashboard or connect the API to process every document that follows on its own.
