EasyOCR
scantailor-advanced
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EasyOCR | scantailor-advanced | |
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38 | 21 | |
21,535 | 1,094 | |
3.0% | - | |
4.6 | 0.0 | |
8 days ago | 7 months ago | |
Python | C++ | |
Apache License 2.0 | GNU General Public License v3.0 only |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
EasyOCR
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Leveraging GPT-4 for PDF Data Extraction: A Comprehensive Guide
PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]
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[P] EasyOCR in C++!
I just uploaded my C++ implementation of EasyOCR, a well known ocr library for python. Also dusted some cobwebbs from some audio related projects as well, feel free to leave feedback or contribute! I only implemented the most salient parts, so certainly could use some community help! Cheers!
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OCR at Edge on Cloudflare Constellation
EasyOCR is a popular project if you are in an environment where you can use run Python and PyTorch (https://github.com/JaidedAI/EasyOCR). Other open source projects of note are PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) and docTR (https://github.com/mindee/doctr).
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Donut: OCR-Free Document Understanding Transformer
The main one was https://github.com/JaidedAI/EasyOCR, mostly because, as promised, it was pretty easy to use, and uses pytorch (which I preferred in case I wanted to tweak it). It has been updated since, but at the time it was using CRNN, which is a solid model, especially for the time - it wasn't (academic) SOTA but not far behind that. I'm sure I could've coaxed better performance than I got out of it with some retraining and hyperparameter tuning.
- I made a website for a friend who owns a restaurant. He's wondering if there's a way to upload a picture of his menu daily. What is the best way to do this?
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[P]Modern open-source OCR capabilities and which model to choose
I've used EasyOCR for number recognition tasks. Works fairly well. https://github.com/JaidedAI/EasyOCR
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[D] Looking for a fast OCR repo
Do you have hardware acceleration available? If so, check out https://github.com/JaidedAI/EasyOCR
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[P] Training to read PDF documents. Any ideas?
If all you need to do is OCR, check out https://github.com/JaidedAI/EasyOCR , it's a similar architecture to the cloud services, without all the $. You'll end up with extracted text and bounding boxes for it.
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Tesseract.js – Pure JavaScript OCR
I've had good results with EasyOCR, much better than Tesseract. I agree with you, Tesseract has performed very poorly in my experience.
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I have created a tool to translate any kind of VN by image analysis.
Currently the tool supports 2 different OCRs. PaddleOCR and EasyOCR. In both cases, the OCR has a specific model for Japanese characters. They work quite well, as long as the characters have clear contrast. The problem is that these OCR implement Torch, which makes the program very heavy. I am looking for a way to optimize this.
scantailor-advanced
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Z-Library to Let Users Share Physical Books
There's also https://scantailor.org/ (and a maintained fork at https://github.com/4lex4/scantailor-advanced ) which semi-automates unwarping and other corrective tasks in scanned books.
- Protip : Scannez et classez tout vos documents. Maintenant.
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I’m looking for a OCR software that scan text
My preferred method is to take pictures of all the pages of the book (Open Camera has a nice option to take a new picture every n seconds), optionally touch them up with ScanTailor (automated), and then turn all the images to a PDF using NAPS2 (which will OCR the text as it goes in).
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Tutorial on book digitization
Next is the cleanup. Scan Tailor is the best game in town for this, but it's a dead project. Instead, there are two forks that have picked up where the original developers left off. Scan Tailor Advanced is my current fork of choice, though Scan Tailor Universal tries to add new usability features. For whatever reason, only Advanced makes full use of my CPU, so it's several times faster than Universal for the time being.
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Request Help-How to batch split two pages (misscanned onto 1 page) into two pdf pages, one pdf page for each page image? Any suggestions on other software products to assist?
No problem. https://github.com/4lex4/scantailor-advanced/releases
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Tesseract OCR
I use a £15 arm with a vice grip for my phone from Amazon, copy the files to my laptop and then run a bash for-loop of the tesseract CLI over the resultant files.
I use https://github.com/4lex4/scantailor-advanced to deskew the images and generate the PDF.
It isn't perfect but my purposes are more around research than publication, so, YMMV!
This has the latest developments, but is also seemingly unmaintained for over a year: https://github.com/4lex4/scantailor-advanced
Scan Tailor forum: https://forum.diybookscanner.org/viewforum.php?f=21
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DIY Book Scanner
I've used scan tailor in the past to convert a outboard motor manual to pdf, it's pretty powerful. I didn't have a proper setup, but my results still came out decently.
What are some alternatives?
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
OpenCV - Open Source Computer Vision Library
scantailor-universal - ScanTailor Universal - a fork based on Enhanced+Featured+Master versions of ST
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
tesserocr - A Python wrapper for the tesseract-ocr API
LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.
Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥
tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019
CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)