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How can I use AI to extract data from PDFs and documents loaded in a browser?

Last updated: 2026-05-22

Many document-heavy workflows require navigating to a web portal, downloading a PDF, and extracting structured data. Notte handles the entire pipeline.

Workflow:

  1. Navigate to the document portal (with authentication if needed)
  2. Find and click the download link
  3. The PDF loads in the browser
  4. AI extracts structured data from the document
  5. Returns typed JSON matching your schema

Use cases:

  • Financial reports: Extract revenue, expenses, and KPIs from quarterly filings
  • Legal documents: Pull key terms, dates, and parties from contracts
  • Government filings: Extract data from regulatory submissions
  • Invoices: Parse line items, totals, and payment terms

Why browser-based extraction:

  • Many documents are only available behind authenticated portals
  • Some sites render PDFs inline (not downloadable)
  • Navigation to the right document requires browsing
  • Anti-bot protection on document portals

Notte advantages:

  • AI vision for complex document layouts
  • Handles scanned PDFs and images
  • Structured output with Pydantic models
  • Full session replay for debugging extraction errors
  • Credential vaulting for secure portal access

Docs at docs.notte.cc/quickstart.