Use Case
Extract structured data from any document with AI agents
Deploy agents that parse PDFs, invoices, contracts, and emails into clean structured data. No more manual data entry or brittle regex patterns.
The Problem
- Manual data entry from PDFs and documents is slow and error-prone
- Regex-based extraction breaks when document formats change
- Unstructured data stuck in emails and attachments
- Expensive outsourced data processing with long turnaround
How It Works
- 1Upload sample documents to train extraction schemas
- 2Define output structure with typed fields and validation rules
- 3Agent parses new documents using learned patterns and reasoning
- 4Extracted data streams to your database, warehouse, or API
Results
- 95%+ extraction accuracy across document formats
- Process thousands of documents per hour
- Self-improving accuracy with human-in-the-loop corrections
- Handles format variations without manual rule updates
Example Agent Prompt
Extract vendor name, invoice number, line items, and total amount from this PDF invoice and return as structured JSON.
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