pdfarranger
doctr
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pdfarranger | doctr | |
---|---|---|
93 | 12 | |
2,990 | 3,005 | |
6.6% | 8.6% | |
9.0 | 8.9 | |
4 days ago | 4 days ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache 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.
pdfarranger
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Pdftool.org: modify pdfs offline in the browser
On Linux I like to use:
https://github.com/pdfarranger/pdfarranger and https://gitlab.com/scarpetta/pdfmixtool for such tasks.
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Wechsel von Windows auf Linux - zu viele Programme Windows-only?
Für PDFs verwende ich pdfarranger.
- Transition from Windows to Linux: is there a way to do this things on linux too?
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A note of appreciation for paperless ngx
I see some questions in the comments about document splitting and if you are using PDF for the export in scanning, this adds an extra step but may be valuable in the long run. For Linux users at least, there is "pdfarranger" which most distros have. You can install that, load the PDF and re-arrange pages, remove pages, etc.
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An open-source pdf editor?
PDFArranger
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What's a really niche tool you use that you can't live without?
So, I guess, pdfarranger might be faster than PDFSam. https://github.com/pdfarranger/pdfarranger
- Converting a PowerPoint that's been exported the wrong way?
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Software to convert many JPG's into a PDF or similar.
I like PDF Arranger for converting JPEGs to PDFs (open source on Windows) https://github.com/pdfarranger/pdfarranger.
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PDF Arranger KDE Alternative?
I have always only been using PDF Arranger for manipulating PDF files (merging different files, arranging, adding, deleting pages) and I'm wondering if there really is no KDE equivalent for that application.
- Can anyone recommend a free PDF splitter?
doctr
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Show HN: How do you OCR on a Mac using the CLI or just Python for free
https://github.com/mindee/doctr/issues/1049
I am looking for something this polished and reliable for handwriting, does anyone have any pointers? I want to integrate it in a workflow with my eink tablet I take notes on. A few years ago, I tried various models, but they performed poorly (around 80% accuracy) on my handwriting, which I can read almost 90% of the time.
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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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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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DeepDoctection
Last I checked I saw a grocery bill example using https://github.com/mindee/doctr and was fairly accurate. Bear in mind that was last year, hopefully it got even better or there are other libraries
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Confidential Optical Character Recognition Service With Cape
For its OCR service, Cape uses the excellent Python docTR library. Some of the critical benefits of docTR are its ease of use, flexibility, and matching state-of-the-art performance. The OCR model consists of two steps: text detection and text recognition. Cape uses a pre-trained DB Resnet50 architecture for detection, and for recognition, it uses a MobileNetV3 Small architecture. To learn more about the level of OCR accuracy you can expect for your document, you can consult these benchmarks provided by docTR. As you will see, model performance is very competitive compared to other commercial services.
- 👋 Unstable Diffusion here, We're excited to announce our Kickstarter to create a sustainable, community-driven future.
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Frog: OCR Tool for Linux
There's also DocTR which can do text detection and extraction out of the box.
It's command line driven but can display the detected text as an overlay of the document.
https://github.com/mindee/doctr
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OCRmyPDF: Add an OCR text layer to scanned PDF file
If you want to OCR a document image, modern versions of Tesseract can work well. If you last used it a few years ago, the recognition has improved since due to a new text recognition algorithm that uses modern (deep learning) techniques. Browser demo using a modern version: https://robertknight.github.io/tesseract-wasm/.
OCR processing typically consist of two major steps: detecting/locating words or lines of text on the page, and recognizing lines of text.
Tesseract's text recognition uses modern methods, but the text detection phase is still based on classical methods involving a lot of heuristics, and you may need to experiment with various configuration variables to get the best results. As a result it can fail to detect text if you present it with something other than a reasonably clean document image.
Doctr (https://github.com/mindee/doctr) is a new package that uses modern methods for both text detection and recognition. It is pretty new however and I expect will take more time and effort to mature.
- DocTR: Open-Source OCR Based on TensorFlow or PyTorch
- DocTR: A seamless, high-performing and accessible library for OCR-related tasks
What are some alternatives?
pdfsam - PDFsam, a desktop application to split, merge, mix, rotate PDF files and extract pages
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
AppImageKit - Package desktop applications as AppImages that run on common Linux-based operating systems, such as RHEL, CentOS, openSUSE, SLED, Ubuntu, Fedora, debian and derivatives. Join #AppImage on irc.libera.chat
tesserocr - A Python wrapper for the tesseract-ocr API
pdfslicer - A simple application to extract, merge, rotate and reorder pages of PDF documents
keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
ExpansionCards - Reference designs and documentation to create Expansion Cards for the Framework Laptop
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
nautilus-pdf-tools - Tools to work with PDF files from Nautilus
react-native-tesseract-ocr - Tesseract OCR wrapper for React Native
web-pdf-toolbox - Simple web toolbox for PDF files
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019