PaddleOCR
OCRmyPDF
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PaddleOCR | OCRmyPDF | |
---|---|---|
60 | 77 | |
38,373 | 11,936 | |
4.5% | 4.3% | |
8.6 | 9.6 | |
5 days ago | 10 days ago | |
Python | Python | |
Apache License 2.0 | Mozilla Public License 2.0 |
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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What is the best repo for hand written text recognition?
My default recommendation for OCR is https://github.com/PaddlePaddle/PaddleOCR but most of the examples there are not handwritten - so I'm not sure how well it'll handle it this time.
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Ask HN: Best way to perform complex OCR task in 2023?
Other than EasyOCR and Tesseract, PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) is probably the most well known open-source OCR solution.
What are you planning to do with the text after detecting / recognizing it? How fast does the detection / recognition need to be in order to be useful?
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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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Seeking Advice for Improving OCR Accuracy in a Code Snippet Reader Project
I think you can train tesseract with custom data if you have enough, or you can use deep learning models like https://pyimagesearch.com/2020/08/17/ocr-with-keras-tensorflow-and-deep-learning or https://www.google.com/amp/s/nanonets.com/blog/attention-ocr-for-text-recogntion/amp/ or try other existing tools like paddle-ocr https://github.com/PaddlePaddle/PaddleOCR
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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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unable to install paddleocr on m1 mac
when following the installation commands present in the paddleocr repo(https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/doc/doc_en/quickstart_en.md) im still unable to install paddleocr. paddlepaddle is successfully installed on my m1 mac with python3.9.16 but while installing paddleocr im getting this error after long pip backtracking
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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.
OCRmyPDF
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TextSnatcher: Copy text from images, for the Linux Desktop
Try https://github.com/ocrmypdf/OCRmyPDF - it uses Tesseract behind the scenes and it absolutely brilliant.
- FLaNK Stack Weekly 19 Feb 2024
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Calibre β New in Calibre 7.0
I recommend running any such PDFs through OCRmyPDF.
https://github.com/ocrmypdf/OCRmyPDF
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A better document viewer
If by "like a photocopy" you mean the file contains images of text rather than text, the MacOS viewer presumably does OCR on the images. I don't know if there's a Linux document viewer with that capability built-in, but a quick search turned up the standalone tool OCRmyPDF.
- Gibts ein (CLI) tool, das Kontrast und Helligkeit von gescannten Textdokumenten dynamisch anpasst?
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OCR for a full pdf on Neoreader
For anyone interested I solved the problem by first ocr files through the free and open source software ocrmypdf avaible here
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ELI5: why is PDF such a widespread text format, instead of a format that's actually easier to edit?
ocrmypdf is nice for stuff like that.
- Donut: OCR-Free Document Understanding Transformer
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massive crop and OCR newspaper
Use imagemagick to convert them to PDF and ocrmypdf to straighten and OCR. See this explanation.
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OCR pdf and just keep the OCR text
Fair enough, maybe this might work for you, it should seperate the text from image anyway and if you have Adobe acrobat it should be able delete the background too with the edit function. It may already be able to do that if you haven't tried it
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.
pdfplumber - Plumb a PDF for detailed information about each char, rectangle, line, et cetera βΒ and easily extract text and tables.
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
tesserocr - A Python wrapper for the tesseract-ocr API
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
Paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents
Tesseract.js - Pure Javascript OCR for more than 100 Languages πππ₯
invoice2data - Extract structured data from PDF invoices
keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
pdfminer.six - Community maintained fork of pdfminer - we fathom PDF
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration