Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
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Updated
Aug 17, 2026 - Python
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
Docscan is a document scanner. Take a photo of your documents and frame it.
Automatically extract documents from images and perspectively correct them with classic computer-vision algorithms. In maintenance mode. Check out its successor at:
Model for document segmentation trained on the midv-500-models dataset.
Clean, deskew, and enhance photographed or scanned PDFs and images into crisp, high-contrast documents locally.
A simple document scanner with OCR implemented using Python and OpenCV
Document scanner written in python using OpenCV and other Computer Vision libraries. Scans image of documents and creates scanned version of the document by running some image manipulations on it.
It is GUI based document scanner which is using OpenCV in the backend. Read more in read_me
MiniAiLive Intelligent ID OCR for Reliable Identity Verification From document verification to data entry, our MiniAiLive OCR solution can help transform your identity verification process.
Document Scanner Web App with Python
MiniAiLive's Complete Document Liveness Detection Solution for Digital Onboarding
Open-source, free and offline document scanner & PDF manager for Windows. Smart crop, compress, convert, sign, anotate, and redact documents locally.
Manage Paperless-NGX documents entirely through Telegram - upload, search, tag, and organize
Computer Vision and NLP based document scanner, text extractor and summarizer.
IDVision is a desktop app for fast, secure ID card verification and face authentication. It uses IDAnalyzer API for dual-side OCR, checks ID authenticity, and matches live webcam faces with ID photos, ensuring reliable digital identity verification.
An application that reads the documents and inserts its information into the SQL database
This solution is a proof of concept for an Indian Legal Document Extractor utilizing AWS Lambda, Bedrock, SQS, and S3.
Trying to improve https://www.pyimagesearch.com/2014/09/01/build-kick-ass-mobile-document-scanner-just-5-minutes/ tutorial
this repository contains utils for post processing scanned documents and classify any kind of document for the given labels
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