Unstructured Text Processing Python Packages

text2structured-summary

text2structured-summary generates structured summaries from unstructured text using an LLM.

vitae-parser

vitae-parser extracts and structures biographical details from unstructured text using pattern matching.

historical-scam-summary

This package solves the problem of extracting structured, domain-specific insights from unstructured text inputs—like historical articles, research papers, or summaries—without requiring manual parsin

stratix-summarizer

A new package is designed to analyze and summarize business strategy narratives, investor communications, or crowdfunding campaign descriptions to extract structured insights about startup funding act