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Document AI & OCR

Intelligent annotation for document understanding, OCR, intelligent document processing, and AI-powered information extraction

High-fidelity annotation for structured and unstructured documents, forms, invoices, receipts, contracts, identity documents, reports, and handwritten content. Eidoryx supports AI systems that need to understand document layouts, extract information, recognize text, and convert complex documents into structured digital data.

Book Demo Types of Annotation

Types of Annotation

8 annotation types for document ai & ocr data.

Document Layout Annotation

Annotating document regions such as headers, paragraphs, tables, images, signatures, footnotes, columns, and other layout elements. These datasets support document structure understanding and intelligent document processing.

OCR & Text Region Annotation

Identifying and annotating printed, handwritten, typed, and machine-generated text regions within documents. These datasets support OCR training, text recognition, document digitization, and automated information extraction.

Forms & Key-Value Annotation

Labeling form fields, questions, answers, checkboxes, key-value pairs, signatures, dates, names, addresses, and other structured information. These annotations support automated form processing and data extraction.

Table & Structured Data Annotation

Annotating tables, rows, columns, cells, headers, merged cells, and relationships between table elements. These datasets support automated table extraction, financial document processing, and structured-data conversion.

Document Classification & Entity Annotation

Classifying documents and identifying entities such as names, organizations, dates, amounts, addresses, document numbers, and other project-specific information. These datasets support document classification, entity extraction, search, and document intelligence.

Handwriting & Complex Document Annotation

Annotating handwritten text, signatures, stamps, checkboxes, low-quality scans, mixed layouts, and complex document structures. These datasets support handwriting recognition and AI systems designed for real-world documents.

Multilingual Document Annotation

Annotating documents containing multiple languages, scripts, and mixed-language content. These datasets support multilingual OCR, document translation, cross-language information extraction, and global document-processing systems.

Document Relationship Annotation

Identifying relationships between document elements, such as labels and values, table headers and cells, questions and answers, and references between sections. These annotations support advanced document-understanding models.

Quality Assurance

Multi-stage annotation, senior review, and final verification.
Document-specific taxonomies covering layouts, text, tables, fields, entities, and relationships.
Detailed review of small text, handwriting, complex layouts, overlapping elements, and low-quality scans.
OCR and field-level accuracy checks for text, values, tables, and extracted information.
Accuracy and completeness thresholds established before final delivery.

Why Eidoryx for Document AI & OCR?

Built for complex document and information-processing environments, where text, layouts, tables, forms, and business information must be accurately understood and converted into structured data. Eidoryx combines precise document annotation with structured quality workflows to create reliable datasets for OCR, intelligent document processing, document classification, information extraction, automated data entry, document search, financial document processing, contract analysis, and AI-powered document intelligence.

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