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Klippa

by Klippa · Invoice & Document OCR

AI-powered OCR and intelligent document processing for invoices, receipts, and IDs.

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Works with
SAP, Oracle NetSuite, Microsoft Dynamics 365, Exact, QuickBooks, Xero, Custom / other systems
Deployment
Cloud
Company size
SMB, Mid-market, Enterprise
Pricing
Subscription and pay-as-you-go; contact vendor for quote
Founded
2015
Headquarters
Groningen, Netherlands

Overview

Klippa is an AI-powered optical character recognition (OCR) and intelligent document processing (IDP) platform that automates the extraction, classification, conversion, anonymization, and verification of business documents. Its flagship product, DocHorizon (rebranded as Doxis AI.dp following Klippa's 2025 acquisition by SER Group), processes financial documents such as invoices, receipts, purchase orders, bank statements, and payslips, as well as identity documents, logistics paperwork, and contracts. The platform converts unstructured documents into structured data — JSON, XML, CSV, XLSX, UBL, and other formats — that can be routed directly into ERP, accounting, and CRM systems.

The product is delivered primarily as a REST OCR API and accompanying mobile SDKs, alongside a no-code platform with a drag-and-drop workflow builder for assembling end-to-end document pipelines. Klippa positions template-free extraction as a core capability: rather than configuring layouts per document, its models parse tables, line items, and form fields across varied formats. Additional functions include automated document classification, image pre-processing for poor-quality scans, fraud and duplicate detection (using copy-move, grayscale, and EXIF analysis), data anonymization for GDPR use cases, and human-in-the-loop review for low-confidence results.

Klippa serves a mix of small businesses, mid-market companies, and enterprises across financial services, accounting, logistics, retail, healthcare, and software. Beyond the standalone OCR/IDP product, the company also offers SpendControl, a spend and expense management suite, and an e-invoicing platform with Peppol support. The company was founded in 2015 in Groningen, Netherlands, and was acquired by Germany-based SER Group in March 2025.

Screenshots & demo

Demo video from the vendor's YouTube channel. Screenshots sourced from Klippa.

Features & capabilities

Data extraction & OCR

Converting documents into structured, machine-readable data.

  • Template-free data extraction across varied document layouts
  • Line-item and table parsing for invoices and receipts
  • Form field parsing and layout detection
  • Extraction of 150+ data fields
  • Multi-page document processing
  • Output to JSON, XML, CSV, XLSX, UBL, and PDF
  • Stated 99% extraction accuracy and 0.5-4 second processing time

Document classification & conversion

  • AI-based document classification and categorization
  • Conversion of PDF invoices to UBL/XML for e-invoicing
  • Support for 50+ document types (invoices, receipts, POs, payslips, bank statements)
  • Identity document parsing (passports, ID cards, driving licenses, residence permits)
  • Image pre-processing to improve extraction from low-quality scans
  • Document anonymization for GDPR compliance

Fraud detection & verification

  • Copy-move (pixel-level) manipulation detection
  • Grayscale and EXIF metadata analysis
  • Duplicate invoice detection
  • Document authenticity and verification checks
  • Identity verification with multiple proof types

Workflow automation platform

No-code tooling to build document processing pipelines.

  • Drag-and-drop workflow / flow builder
  • Prompt builder for AI customization
  • Model builder for custom extraction models
  • Human-in-the-loop review for low-confidence results
  • Batch processing for high-volume operations
  • Routing of extracted data to downstream systems

Developer & integration tooling

  • REST OCR API returning JSON
  • Asynchronous processing with polling and webhook callbacks
  • Mobile document-scanning SDKs for iOS and Android
  • Plug-and-play connectors to 200+ business apps
  • Prebuilt connectors for ERP, accounting, and CRM systems
  • Exports in 20+ formats
  • Developer documentation and demo/test environment with API key

Common use cases

  • Automating accounts-payable invoice data entry into ERP/accounting systems
  • Extracting receipt and line-item data for expense management
  • Converting PDF invoices to UBL/XML for e-invoicing compliance
  • Identity document verification and KYC onboarding
  • Processing logistics and freight documents (delivery notes, freight invoices)
  • Detecting duplicate or manipulated invoices to reduce fraud
  • Anonymizing documents to meet GDPR data-protection requirements

Strengths & considerations

Strengths

  • Template-free extraction that generalizes across document layouts without per-format configuration
  • Built-in fraud and duplicate detection (copy-move, grayscale, EXIF) beyond plain OCR
  • Broad document coverage spanning financial, identity, logistics, and HR/medical types
  • No-code workflow builder paired with REST API and mobile SDKs for both technical and non-technical users
  • EU-hosted infrastructure with a no-data-storage-by-default option for privacy-sensitive workloads

Considerations

  • Public pricing is not listed; starting price requires contacting the vendor
  • Reviewers note SLA guarantees come as separate paid add-ons rather than included by default
  • Non-Latin script support (e.g., Hebrew) is more limited or in beta versus full Latin coverage
  • Following the SER Group acquisition, the product is being rebranded to Doxis AI.dp, which may introduce naming and roadmap transitions

ERP integrations

Prebuilt connectorproduct -> ERP

Listed among supported accounting/ERP integrations; data routed via connectors or API.

Prebuilt connectorproduct -> ERP
Prebuilt connectorproduct -> ERP
Exact
Prebuilt connectorproduct -> ERP
QuickBooks
Prebuilt connectorproduct -> ERP
Xero
Prebuilt connectorproduct -> ERP
Custom / other systems
REST APIBi-directional

Plug-and-play connectors to 200+ business apps plus a REST OCR API for custom integrations.

Pricing

Model
Subscription and pay-as-you-go; contact vendor for quote
Free trial
Yes

Both monthly subscription and pay-as-you-go (per-document/per-API-call) models are offered. Specific rates are not publicly listed; a free trial / demo environment is available. Get an independent shortlist with pricing guidance below.

Technical & security

Hosting
EU-hosted (Microsoft Azure)
Data residency
EU
Compliance
ISO 27001, ISAE 3000 Type I, GDPR, CCPA
Mobile app
Yes
Languages
150+ languages (primarily Latin script; Cyrillic and Arabic supported; Hebrew in beta)

About the vendor

Founded
2015
Headquarters
Groningen, Netherlands
Employees
51-200
Ownership
Acquired by SER Group (March 2025)
Notable customers
GLS, Trading 212, SNCF, myWorld, weclapp

Alternatives to Klippa in Invoice & Document OCR

Klippa — frequently asked questions

What document types can Klippa extract data from?

Klippa supports 50+ document types, including invoices, receipts, purchase orders, payslips, bank statements, and credit card statements, as well as identity documents (passports, ID cards, driving licenses), logistics paperwork, and contracts.

How does Klippa integrate with ERP and accounting systems?

Klippa offers prebuilt plug-and-play connectors to 200+ business apps — including SAP, Oracle NetSuite, Microsoft Dynamics 365, Exact, QuickBooks, and Xero — plus a REST OCR API and exports in 20+ formats (JSON, XML, CSV, UBL) for custom integrations.

Does Klippa require templates for each document layout?

No. Klippa uses AI-based, template-free extraction that parses tables, line items, and form fields across varied layouts without per-format configuration.

Where is Klippa's data hosted and what compliance does it hold?

Klippa's infrastructure is EU-hosted on Microsoft Azure. The company is ISO 27001 and ISAE 3000 Type I certified and states GDPR and CCPA compliance, with a no-data-storage-by-default option.

How accurate and fast is Klippa's OCR?

Klippa states up to 99% extraction accuracy with processing times of roughly 0.5 to 4 seconds per document, with human-in-the-loop review available for low-confidence results.

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