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TableVision OCR — Convert Images & PDFs to Structured Data

An OCR and document intelligence system that extracts structured and unstructured data — including tables — from financial and medical PDFs/images.

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TableVision OCR — Convert Images & PDFs to Structured Data — Document AI preview
Document AI

Workflow & Architecture

How this system works

Step 1
Document upload

Financial or medical PDFs and images submitted for processing.

Step 2
OCR & VLM parse

Text, bordered/borderless tables, and handwriting extracted.

Step 3
Structure mapping

Raw extraction normalized into consistent row/column structures.

Step 4
Excel export

Clean structured spreadsheet ready for downstream systems.

Overview

Combined modern OCR with Vision-Language Models to accurately extract text, bordered/borderless tables, and handwritten content from PDFs and images, converting the results into clean, structured Excel output.

The Problem

Financial and medical documents contain tables and handwriting that standard OCR handles poorly, blocking automated data entry.

The Solution

Built an OCR and VLM-powered extraction system supporting bordered/borderless tables and handwritten content, exporting clean structured Excel files.

Key Features

  • Handles both bordered and borderless tables
  • Extracts handwritten content alongside printed text
  • Supports financial and medical document types
  • Outputs clean, structured Excel files ready for downstream use

Outcomes & Business Value

  • Automates conversion of unstructured documents into structured data
  • Reduces manual data entry for financial and medical workflows
  • Handles complex table layouts standard OCR misses

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