Overall
ModelScore
Rekognita Accurate1798
Rekognita Balanced1638
Rekognita Fast1528
dots.ocr1489
olmOCR 21387
DeepSeek OCR1336
RolmOCR1324
Rekognita modes: Fast (lowest latency), Balanced (best trade-off), Accurate (highest quality + enhancements)
Account Overview — Q4 2023
Tax Return Form 1040
Bank Statement Summary
Investment Elections Report
Annual Balance Sheet
Expense Report FY23
Laboratory Test Results
Prescription Record
Discharge Summary
Insurance Claim Form
Medical Report
Radiology Report
Service Invoice #2847
Utility Bill Invoice
Shipping & Freight Invoice
Contractor Invoice
Medical Billing Statement
SaaS Subscription Invoice
Non-Disclosure Agreement
Lease Agreement pg. 3
Patent Filing Document
Court Filing Brief
Service Contract Agreement
Research Paper — NLP Methods
Computer Vision Paper
Biology Research Article
Economics Working Paper
Physics Research Paper
Physics Textbook — Ch. 5
Chemistry Textbook
Calculus Textbook
Biology Textbook
Employment Application
Tax W-4 Form
Medical Intake Form
Insurance Claim Form
Handwritten Meeting Notes
Handwritten Letter
Handwritten Recipe Card
Revenue Summary Tables
Scientific Data Table
Inventory Report Table
Census Data Table
Beyond OCR
Full Document Restructuring
Other tools stop at text extraction. Rekognita rebuilds the entire document structure — headings, tables, figures, cross-references, semantic sections — into clean, machine-readable formats. No other product offers this level of restructuring.
Capability
Rekognita
Other OCR Tools
Text Extraction (OCR)
Extracting raw text from documents Full
Partial
Layout Preservation
Keeping original document structure: headings, paragraphs, lists Full
Partial
Table Reconstruction
Converting tables to structured data (JSON/CSV) with headers and cells Full
No
Semantic Chunking
Splitting documents into logical sections for RAG pipelines Full
No
Hierarchical Structure
Rebuilding document tree: sections, subsections, nested lists Full
No
Figure & Chart Extraction
Extracting and classifying images, charts, diagrams with captions Full
No
Cross-reference Resolution
Linking footnotes, citations, and references to their targets Full
No
Multi-format Output
Output to Markdown, HTML, JSON, DOCX — not just plain text Full
Partial
Document Segmentation
Identifying page ranges for each logical section of the document Full
No
Schema-driven Extraction
Extracting structured data using custom JSON schemas Full
No
Why is Rekognita unique?
Traditional OCR extracts flat text. Rekognita understands documents like a human does — recognizing hierarchies, tables, figures, and semantic meaning. The output is ready for RAG pipelines, structured databases, and downstream processing without manual cleanup.
Want to see Rekognita in action on your documents?
Get started in minutes or talk to our team for a custom demo.