PaddleOCR
scantailor-advanced
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PaddleOCR | scantailor-advanced | |
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60 | 21 | |
37,652 | 1,096 | |
4.0% | - | |
8.6 | 0.0 | |
4 days ago | 7 months ago | |
Python | C++ | |
Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
PaddleOCR
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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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Show HN: BetterOCR combines and corrects multiple OCR engines with an LLM
Yup! But I'm still exploring options. (any recommendations would be welcomed!) Here are some candidates I'm considering:
- https://github.com/mindee/doctr
- https://github.com/open-mmlab/mmocr
- https://github.com/PaddlePaddle/PaddleOCR (honestly I don't know Mandarin so I'm a bit stuck)
- https://github.com/clovaai/donut - While it's primarily an "OCR-free document understanding transformer," I think it's worth experimenting with. Think I can sort this out by letting the LLM reason through it multiple times (although this will impact performance)
- yesterday got a suggestion to consider https://github.com/kakaobrain/pororo - I don't think development is still active but the results are pretty great on Korean text
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How would you go about driving contextual data from images?
For images with text, if you want to do visual qa, document classification, table/key information extraction, checkout https://huggingface.co/blog/document-ai https://github.com/philschmid/document-ai-transformers https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/README.md
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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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How do you parse tables in PDF with langchain? Especially, the context which is few lines above and below the table.
https://huggingface.co/blog/document-ai https://github.com/microsoft/table-transformer https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/table/README.md
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Donut: OCR-Free Document Understanding Transformer
When I was evaluating options a few months ago I found https://github.com/PaddlePaddle/PaddleOCR to be a very strong contender for my use case (reading product labels), but you'll definitely want to put together some representative docs/images and test a bunch of solutions to see what works for you.
- [Python] [OCR] Un nouvel outil OCR avec une meilleure reconnaissance de texte pour les documents et les cartes.
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[D] Can I use ML/AI to read the back panels of electronic components?
PaddlePaddle/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)
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Frog: OCR Tool for Linux
I’ve had good results from paddle ocr.
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[OCR] The 24k star repo about OCR with 30+ languages supported including Chinese, Japanese .. and image conversion to excel file supported.
And you can find a lot of corpus and dictionaries in the pinned issue Multilingual OCR Development Plan from the community.
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?
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
scantailor-universal - ScanTailor Universal - a fork based on Enhanced+Featured+Master versions of ST
keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
OpenScan - A privacy-friendly Document Scanner app
onnx-simplifier - Simplify your onnx model
gImageReader - A Gtk/Qt front-end to tesseract-ocr.