A machine learning application to automatically evaluate examination papers. Handwriting Recognition, Semantic segmentation, NLP, Android, Web, Python Backend, SQL, etc.
-
Updated
May 17, 2020 - Jupyter Notebook
A machine learning application to automatically evaluate examination papers. Handwriting Recognition, Semantic segmentation, NLP, Android, Web, Python Backend, SQL, etc.
Meaningful Optical Character Recognition from identity cards with Deep Learning.
node.js module for extracting text from html, pdf, doc, docx, xls, xlsx, csv, pptx, png, jpg, gif, rtf and more!
This script performs OCR on a PDF file with scanned images using tessaract.
Automate Android app navigation, capture screenshots in memory, and extract text data to CSV using ADB and Tesseract OCR.
ML classification demo for Leanwork's talk.
(Tenzor X Hackathon Project) PropIntel: AI-Powered Collateral Valuation & Liquidity Engine for NBFCs
Solve any Sudoku in seconds
The Document Scanner API is a powerful tool that allows users to extract information from various types of documents, such as vehicle registration plates, bank deposit receipts, and ID cards.
A smart machine learning system that verifies KU student ID cards using computer vision and OCR technology. Features fraud detection, dual OCR engines, and an intuitive web interface for seamless verification.
Determinate the amount of harmful substances in detergent
verify your aadhaar card valid or invalid
Aeromech Industries maintained Mastra fork: downstream framework, storage, workspace and Code patches for TessarAct.
OCR web app that reads text from images using Python, OpenCV and Tesseract. Applies grayscale, blur and adaptive thresholding, keeps only 80%+ confidence results, and returns the image with labeled boxes. Built with Streamlit.
A universal Python CLI toolkit to seamlessly extract legacy Hindi PDFs (KrutiDev, Devlys, Chanakya) into perfect Markdown. Features AI auto-detection, NLTK English shielding, and OpenCV-enhanced OCR.
To associate your repository with the tessaract topic, visit your repo's landing page and select "manage topics."