ai-agent

AWESOME-OCR-LLM: Text Extraction

Name: AWESOME-OCR-LLM: Text Extraction
Author: Yuliang-Liu

Extract text from images with AWESOME-OCR-LLM, a tool for startup founders, with 665 GitHub stars.

690 stars50 forksHealth Score 8/10Updated 8/7/2026100% free · open source

What it does

AWESOME-OCR-LLM extracts text from images using the power of large language models, allowing startup founders to automate data extraction from visual documents.

Install / run

git clone https://github.com/Yuliang-Liu/AWESOME-OCR-LLM.git

When to use it

•When you need to extract text from invoices, receipts, or other financial documents
•When you want to automate data entry from business cards, contracts, or other formal documents
•When you need to extract information from images of whiteboard notes, handwritten notes, or other visual brainstorming sessions

Quick start

1Navigate to the cloned repository: cd AWESOME-OCR-LLM
2Install required libraries: pip install -r requirements.txt
3Prepare your image dataset: create a folder containing the images you want to extract text from
4Run the OCR script: python ocr.py --img_path /path/to/image --lang en
5View the extracted text in the console or in the output file specified by the --output_path parameter

Ready-to-paste prompt

python ocr.py --img_path ./images/example_image.jpg --lang en --output_path ./output/extracted_text.txt

Heads up: Make sure you have the necessary Python version (>=3.8) and the required libraries installed, including PyTorch and transformers, to avoid compatibility issues

Saves to your device

How AWESOME-OCR-LLM: Text Extraction works

Codeflow

Free to inspect

AWESOME-OCR-LLM: Text Extraction is a documents-only repository (7 doc files) — something you read, not something you run. There is nothing to install. Last commit this month, MIT license.

Size

Documents only

7 documents · ~3 h to skim

Setup

Nothing to install

A guide / curated list. Just read it and follow the links.

Runs on

Nowhere — you read it

A reading resource, not a program.

Where to start reading