Lazzzer/structurizer
Structurizer is a web application that helps you extract structured data from PDF files with Large Language Models!
Struggling to get usable data out of your PDFs? This tool helps finance professionals and office administrators automatically extract key information like vendor names, amounts, and dates from invoices, receipts, and credit card statements. You simply upload your documents, and it converts the unstructured text into organized, structured data, ready for analysis or reporting. It's designed for anyone who regularly processes financial documents and needs to digitize their content efficiently.
No commits in the last 6 months.
Use this if you need to quickly turn piles of financial PDFs like invoices, receipts, or credit card statements into structured, searchable data.
Not ideal if you're dealing with a wide variety of document types beyond financial records or need to extract data from scanned documents with very poor image quality.
Stars
33
Forks
6
Language
TypeScript
License
MIT
Category
Last pushed
Aug 02, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/Lazzzer/structurizer"
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.