In this repository is the source code of Papermerge DMS backend core, REST API server, and frontend UI
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Updated
Jun 19, 2024 - Python
In this repository is the source code of Papermerge DMS backend core, REST API server, and frontend UI
Dedoc is a library (service) for automate documents parsing and bringing to a uniform format. It automatically extracts content, logical structure, tables, and meta information from textual electronic documents. (Parse document; Document content extraction; Logical structure extraction; PDF parser; Scanned document parser; DOCX parser; HTML parser
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
Open Source Document Management System for Digital Archives (Scanned Documents)
Papermerge DMS command line utility
Small utility to prepare scanned documents. Supports separating PDF files by separator pages and removing blank pages.
Searching for a text using OCR, detection and recognition of tables in scanned documents.
A program to automate simple and repetitive tasks while scanning documents by Dallin Stewart
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.
BoxDetect is a Python package based on OpenCV which allows you to easily detect rectangular shapes like character or checkbox boxes on scanned forms.
The project creates the models and service API for predicting scanned document images' angles ranging between -90° to 90° from the vertical.
ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
Efficient Text Localization Algorithm, Image Inversion Detection of Scanned Documents & Language Identification based on Shape Context and Traditional Computer Vision.
auto-correct contrast and brightness of photographed document
Converts scanned documents and ordinary documents into speech mp3 using Amazon Polly
Optical Character Recognition for Scanned Documents
Make your PDFs look like they were scanned
Segmentation of Scanned Text upto Character Level
Implementation of scanned document table segmentation with U-net
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