Automate data extraction from PDFs using AI
- 🔑 Pull facts from marked out sections of PDFs
- 📃 Extract single or repeating tables using GPT and OCR software
- 📂 Create custom parser for various documents without training
How PDF data extraction works
Section Markers
Section markers mark out single or repeating parts of PDFs where information should be extracted from.
AI Parsing
OCR and GPT parsing is used to capture facts and tables from semi-structured document sections with varying layouts.
Table extraction
OCR or GPT parsing is used to capture exact document columns and rows from marked out sections.
For many complex PDF data extraction use cases
Insurance Claims
Extract claim numbers, policy number and more. Automate claims processing and reduce turnaround time. Build custom parsers for each provider.
Contracts
Extract key terms, dates and parties. Automate contract management and reduce manual data entry. Build custom parsers for each vendor.
Reports
Extract specific tables from PDF reports for insights and analytics E.g. trades tables from broker reports
Frequently asked questions
What is AI document data extraction?
How does document data extraction work?
What is AI document data extraction?
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