shcherbak-ai/contextgem
ContextGem: Effortless LLM extraction from documents
This tool helps developers efficiently extract specific, structured information from various documents using large language models (LLMs). You provide documents as input, define what data you need (like names, dates, or product details), and it outputs that information in a clean, organized format. It's designed for developers building applications that need to automate data extraction from text, like creating knowledge bases or processing forms.
1,810 stars. Actively maintained with 2 commits in the last 30 days. Available on PyPI.
Use this if you are a developer building an application that needs to extract structured data from documents using LLMs with minimal boilerplate code.
Not ideal if you are a non-technical user looking for a no-code solution to extract information from documents.
Stars
1,810
Forks
145
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 22, 2026
Commits (30d)
2
Dependencies
16
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/shcherbak-ai/contextgem"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
mufeedvh/code2prompt
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt...
ShahzaibAhmad05/gitree
An upgrade from "ls" for developers. An open-source tool to analyze folder structures and to...
nicepkg/ctxport
Copy AI conversations as clean Markdown Context Bundles — one click from ChatGPT, Claude,...
nikolay-e/treemapper
Export your entire codebase to ChatGPT/Claude in one command. Structure + contents in YAML/JSON...
WecoAI/weco-cli
The Platform for Self-Improving Code. Ideal for GPU kernels, ML model development, feature...