Document Processing

OCR Extraction

High-precision OCR for any document type — 99.9% accuracy across 100+ languages.

ISO/IEC 27001:2022
eIDAS Certified
ISAE 3402
GDPR Compliant
BSI C5
Yfirlit

Enterprise-Grade Text Recognition

Our OCR Extraction engine combines multiple recognition models to deliver best-in-class accuracy on even the most challenging documents. From faded receipts to complex multi-column forms, every character is captured with confidence scoring.

  • 99.9% character-level accuracy across printed and handwritten text
  • Supports 100+ languages including Arabic, Chinese, and Cyrillic scripts
  • Intelligent table and form structure recognition
  • Batch processing for high-volume document workflows
  • Flexible output formats including JSON, CSV, and XML
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Eiginleikar

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Any Document

Works with IDs, invoices, contracts, forms, and any other document type. Automatic document classification identifies the type before extraction begins.

Multi-language

Supports 100+ languages and scripts including Latin, Arabic, Chinese, and Cyrillic. Mixed-language documents are handled seamlessly with automatic language detection.

Structured Output

Returns formatted JSON with intelligent field mapping and confidence scores. Custom output schemas let you define exactly the data structure your application needs.

Handwriting

Recognize both printed and handwritten text with advanced neural network models. Trained on millions of handwriting samples across diverse writing styles and languages.

Table Extraction

Parse complex tables, multi-column layouts, and nested forms into structured data. Row and column relationships are preserved for accurate data reconstruction.

Batch Processing

Process thousands of documents simultaneously with parallel pipeline execution. Priority queuing and progress callbacks keep your workflows running efficiently.

Forrit

Notkunartilvik

Sjáðu hvernig fyrirtæki nota OCR Extraction í framleiðslu

01

Financial Document Digitisation

Convert paper-based financial records, invoices, and statements into structured digital data for automated processing.

Extract line items, totals, and tax amounts from invoices automatically
Process bank statements to reconcile transactions at scale
Digitise legacy paper archives for compliance and audit readiness
02

Identity Document Processing

Extract personal information from identity documents to support KYC and onboarding workflows.

Read name, date of birth, and document number from any ID format
Handle worn, faded, or low-quality document scans gracefully
Cross-validate extracted fields against MRZ data for consistency

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