doctr
normcap
doctr | normcap | |
---|---|---|
12 | 18 | |
3,075 | 1,702 | |
5.7% | - | |
8.9 | 9.3 | |
1 day ago | 8 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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
normcap
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TextSnatcher: Copy text from images, for the Linux Desktop
The workflow feels a bit more polished (Though also not perfect) and the repo is still active.
[1] https://github.com/dynobo/normcap
- FLaNK Stack Weekly for 30 April 2023
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NormCap: OCR powered screen-capture tool
https://github.com/dynobo/normcap#similar-open-source-tools
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How do you manage your notes/summaries from the things you learn?
Some sort of OCR — NormCap bound to a hotkey for general OCR and obisidian-ocr-plugin for Obsidian. Vital for tracking down screenshots of stuff.
- Gute Text zu Bild KI?
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Recommendations on OCR software?
Just for completeness: There's normcap, an OCR tool to copy text from the screen. It works right out of the box from what I tested, both from Flatpak and the AUR.
- Frog: OCR Tool for Linux
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Is there "Text Extractor" tool (from Windows Powertoys) equivalent in linux?
but i just found this https://github.com/dynobo/normcap from their readme, using tesseract as its backend, looks like nice replacement for text extractor.
- PowerToys Release v0.62
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.
pytesseract - A Python wrapper for Google Tesseract
tesserocr - A Python wrapper for the tesseract-ocr API
textshot - Python tool for grabbing text via screenshot
keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
pyocr
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
Signalum - To explore creating an application that detects available connections at once from wifi and bluetooth
react-native-tesseract-ocr - Tesseract OCR wrapper for React Native
TextSnatcher - How to Copy Text from Images ? Answer is TextSnatcher !. Perform OCR operations in seconds on Linux Desktop.
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019
D3DShot - Extremely fast and robust screen capture on Windows with the Desktop Duplication API