Blacksuan19/structx
Type-safe structured data extraction from text using LLMs.
Quickly extract specific information from any document like invoices, contracts, or reports without manual reading. You provide the document (PDF, Word, text, etc.) and a natural language query describing what you need, and it outputs the requested data in a structured format. This is for professionals who regularly process many documents and need to automate data entry or analysis.
Use this if you need to reliably pull structured data like dates, names, amounts, or line items from various document types, including complex layouts like PDFs with tables and images.
Not ideal if you only deal with simple, perfectly structured data sources where traditional parsing methods are sufficient.
Stars
10
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jan 17, 2026
Commits (30d)
0
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