Extract the data you need — not just the text you can see.
PaperAI doesn't just convert documents to text. It extracts structured data fields you define — dates, amounts, names, line items, reference numbers — ready for your database, ERP, or spreadsheet.
- Choose what details to pull out for each document type using Smart Flows
- Outputs organized data as JSON, CSV, or Markdown — not walls of raw text
- Auto-approve high-confidence extractions, review only the exceptions
Why teams convert here
- AI conversion with explicit approval controls
- Side-by-side review plus version history
- Batch-ready exports for your existing tools
“Tax season used to mean hiring three temps for data entry. Last year we processed everything with PaperAI.”
Data extraction is the difference between a converted document and usable data. Converting a 5-page invoice to text still requires someone to find the total, locate the vendor name, and identify each line item. PaperAI skips that step — you define the fields once, and every document produces structured output.
Extraction fields support typed data: text, numbers, dates, currency amounts, booleans, and arrays (for line items). The output is clean JSON or CSV that imports directly into your database, ERP, or spreadsheet. No regex parsing. No copy-paste. No manual data mapping.
5
AI Models
12+
Formats
<30s
Processing
Free
To Start
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Common questions
Answers focused on conversion quality, team workflows, and roadmap clarity.