Pyggle is a boggle solver library written in Python, and compiled to Next.js!

Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle.

YOLOv9 Licence Plate Recognizion with easyOCR implementation

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

使用 Python + OpenCV 讓 User 能夠透過字卡自行控制臉部特效

Automatic information extraction from identity card with ocr

License Plate Recognition using YOLOv8 + EasyOCR + NAFNet

🔍 Better text detection by combining multiple OCR engines (EasyOCR, Tesseract, and Pororo) with 🧠 LLM.

Flask endpoint to verify the face on a live image versus the face on an identification document and the name provided versus the name on the document using computer vision and OCR ML algorithms.

Program to Detect Number Plates and QR Code

Counter surveillance system that detects vehicles that may be following you using ALPR. Designed simply with open source projects.

Optical Character Recognition Component from AuRA-Ai-MED

This microservice standardizes the usage of Optical Character Recognition (OCR) engines

This project uses the Tesseract OCR library to extract text from images. The text is then parsed using regular expressions to extract the numbers. The numbers are then written to a text file in the output directory. To use this project, simply place the input images in the input_images directory and run the Python script.

A simple RAG/OCR application. It does its best to figure out a receipt image and add the content to a csv file.

BizCardX: Extracting Business Card Data with OCR | Technologies: OCR,streamlit GUI, SQL,Data Extraction

This is the capstone project that utilizes the ocr and MySQL to create a business card extractor and we can edit the extracted information from the business cards.

In this project I create a crossplatform app in python which can help capture text on the screen as an image and extract text from that image

BizCard, you can say goodbye to manual data entry and cumbersome business card handling.

This project is a versatile Optical Character Recognition (OCR) and translation tool designed to process both images and PDF documents and leveraging NLP to translate the text into different languages and give users an option to summarize the contents of a document in their prefered language