Mint Data from Documents

Make a template. It defines the data you want. Upload some test documents. Mint their data. It's a spreadsheet. Inspect the minted data and the AI's "thought processes". Iteratively improve the template. This is data minting.

Once you build a template that you trust, then you can reuse it endlessly on hundreds/thousands of similar files. Mint your data straight into a spreadsheet.

Share templates with your colleagues. Learn from tested extraction methods. Build a shared library of reliable templates.

Templates get better through testing. Run samples, spot problems, refine the template's instructions. Build on refinements others have already made. Share improvements with your network. Work together to build templates that handle real-world complexity.

Users can:

• focus on the template, rigorously defining their desired data.
• skip the manual work. No more hu-minting!
• share templates for group testing, enabling trusted and reliable data extractions.