mohanbing/st_doc_ext
This repository contains the code for the information extraction app that uses langchain to extract a structured output from unstructured data for a particular schema.
This tool helps you quickly pull specific details from documents like PDFs or images. You provide your unstructured text or image, define what information you're looking for (like a template), and it extracts that data into a clean, organized format. It's ideal for anyone who regularly sifts through documents to find key pieces of information, such as researchers, legal professionals, or administrative staff.
No commits in the last 6 months.
Use this if you need to systematically extract predefined data points from various unstructured documents, turning them into a structured output.
Not ideal if you need to analyze the overall sentiment or general content of a document rather than specific, templated information.
Stars
7
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 21, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/mohanbing/st_doc_ext"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NanoNets/docstrange
Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple...
th1nhhdk/local_ai_ocr
An local, offline (after initial setup), portable OCR software that can process images and PDF...
Dicklesworthstone/llm_aided_ocr
Enhances Tesseract OCR output using LLMs (local or API) for error correction, smart chunking,...
emcf/thepipe
Get clean data from tricky documents, powered by vision-language models ⚡
langstruct-ai/langstruct
Extract structured data from any content using LLMs.