regex4ocr VS Nkocr

Compare regex4ocr vs Nkocr and see what are their differences.

regex4ocr

Plug regular expression models into OCR string results of document pictures to extract structured data! (by juntossomosmais)
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regex4ocr Nkocr
1 1
24 33
- -
0.0 8.2
over 2 years ago 15 days ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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regex4ocr

Posts with mentions or reviews of regex4ocr. We have used some of these posts to build our list of alternatives and similar projects.

Nkocr

Posts with mentions or reviews of Nkocr. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing regex4ocr and Nkocr you can also consider the following projects:

OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

koann - OCR algorithm implementation - storing data locally or in MongoDB!

strictyaml - Type-safe YAML parser and validator.

J.A.R.V.I.S - Personal Assistant built using python libraries. It does almost anything which includes sending emails, Optical Text Recognition, Dynamic News Reporting at any time with API integration, Todo list generator, Opens any website with just a voice command, Plays Music, Wikipedia searching, Dictionary with Intelligent Sensing i.e. auto spell checking, Weather Reporting i.e. temp, wind speed, humidity, YouTube searching, Google Map searching, Youtube Downloading, etc.

OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched [Moved to: https://github.com/ocrmypdf/OCRmyPDF]

OCR-PDF-Action - A GitHub action for turning scanned PDF's into searchable documents

pdftabextract - A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

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

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

image-blending-opencv - A simple example of blending 2 images with OpenCV