PDF Processing & Data Extraction

Backend system that ingests PDF documents, extracts structured data with AI, validates it, and pushes clean records into downstream systems.

The problem

Manual transcription from PDFs into downstream systems is slow and error-prone.

How it works

1. PDF documents uploaded to ingestion pipeline
2. AI extracts structured data from variable formats
3. Extracted data validated against expected schema
4. Low-confidence records flagged for review
5. Clean records pushed to downstream database

Benefits

• Reduces manual data entry from PDF documents
• AI-powered extraction handles variable document formats
• Structured output integrates with existing databases
• Low-confidence extractions flagged for human review

Connected systems

Internal database systems

Human review

Low-confidence extractions are flagged for human review before pushing to downstream systems.

Estimated hours saved per week: 10–24