PaddleOCR
scantailor-advanced
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PaddleOCR | scantailor-advanced | |
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60 | 21 | |
38,373 | 1,107 | |
4.5% | - | |
8.6 | 0.0 | |
7 days ago | 8 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.
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.
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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Looking for freeware to scan multiple photos and autocrop. Straightening would be a plus
ScanTailor Advanced (downloads are in the sidebar, labeled as "Releases") is a little more complex. It takes a folder of images and performs a series of steps to produce good book scans, though it might be useful for your purpose as well. The first step after importing images is to split them up, and ScanTailor does this by looking for straight lines that might indicate a gap between pages. Now, I don't know if this will handle any more than two pictures per image, but it will at least handle doubles. ScanTailor will also attempt to automatically deskew pictures, and then there are a few steps that you'll need to take to make your pictures come out nicely.
- Whats the best software to split multiple scanned-at-once photos apart?
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Iām 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.
- Program for book digitisation/scanning?
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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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https://np.reddit.com/r/opensource/comments/ou4y5h/is_there_an_open_source_program_to_reduce_the/h72nl4g/
If you are interested in more ways to treat a scan, ScanTailor is definitely an option. I am using a fork called ScanTailor Advanced which is available under GPL-3.0 on GitHub. With this tool you can also crop your images and apply options like threshold or posterization to improve readability while further reducing the file size.
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Tesseract OCR
I use a Ā£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!
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.
scantailor-universal - ScanTailor Universal - a fork based on Enhanced+Featured+Master versions of ST
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
bookscan - Documentation and scripts for book scanning using free software tools
Tesseract.js - Pure Javascript OCR for more than 100 Languages ššš„
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
pi-scan - Pi Scan is a simple, robust capture appliance for book scanners. It runs on a Raspberry Pi 2.
keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
BoofCV - Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.