Structured Data Output Python Packages

govaitextextract

govaitextextract extracts structured AI/tech initiative data from text for policy, news, and recruitment analysis.

fundingextractor

A new package that processes news headlines and extracts structured information about company funding events, such as startup names, valuation amounts, and funding rounds, using pattern matching to en

legalysis

legalysis extracts parties, issues, outcomes, and lessons from case texts into a consistent, structured format for quick legal insight.

finwell-analyzer

A new package designed to analyze user-submitted texts related to financial well-being by employing language models and pattern matching. The package processes the input to identify key sentiments, th

vrscene-parser

A new package would process textual descriptions of virtual reality scenes or environments and return structured, validated outputs that describe the scene in a standardized format. It would use an LL

techsummly

A new package designed to facilitate structured and reliable interactions with language models for analyzing and summarizing technical discussions. Given a detailed description or excerpt of a technic

yearly-insights-parser

A new package that analyzes user-provided text summaries of yearly breakdowns (e.g., financial reports, project post-mortems, or performance reviews) and extracts structured insights. It uses an LLM t

pharma-globex

A new package designed to analyze input texts related to global pharmaceutical trends, such as India's role in manufacturing generics, and generate structured summaries or insights. It leverages struc