txn-harvester extracts and structures financial transaction data from unstructured text, parsing amounts, dates, and categories for automation.
-
Updated
Dec 22, 2025 - Python
txn-harvester extracts and structures financial transaction data from unstructured text, parsing amounts, dates, and categories for automation.
A new package facilitates extracting a concise, structured summary from user-provided news headlines or brief texts by utilizing pattern matching and LLM interactions. This tool aims to help researche
A new package that transforms unstructured text queries into highly structured, search-optimized outputs. The package takes a user's text input, such as a search query or a description of information
A new package designed to facilitate the generation of structured summaries and insights from user-provided news headlines or short articles. It uses pattern matching to ensure responses are consisten
A new package that simplifies and structures user feedback or descriptions about VPN sign-up experiences. It takes text input from users describing their sign-up process with a VPN service, such as ea
keyinfostruct extracts and structures key info from personal texts, highlighting main points, emotions, and suggested actions for better organization.
A new package that leverages advanced pattern matching with retries to process user-submitted project titles and descriptions, extracting structured insights such as the project name, programming lang
A new package designed to analyze and structure user-submitted text, specifically focusing on community feedback and moderation. The package leverages the capabilities of llmatch-messages to process a
Introductory practice on XML and DTD basics.
Extracted and structured key data from 5 govt job PDFs for Jobyaari. Organized unstructured info into a clean multi-sheet Excel file. Demonstrated accuracy, detail-orientation, and manual data handling skills.
Add a description, image, and links to the data-structuring topic page so that developers can more easily learn about it.
To associate your repository with the data-structuring topic, visit your repo's landing page and select "manage topics."