tesseract-ocr
gazou
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tesseract-ocr | gazou | |
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120 | 1 | |
57,866 | 83 | |
1.8% | - | |
8.9 | 4.5 | |
3 days ago | 6 months ago | |
C++ | C++ | |
Apache License 2.0 | GNU General Public License v3.0 only |
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tesseract-ocr
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one of the Codia AI Design technologies: OCR Technology
You will also need to install the Tesseract OCR engine, which can be downloaded and installed from the following link: https://github.com/tesseract-ocr/tesseract
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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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OCR text to speech for disability
It uses teseract for the OCR https://github.com/tesseract-ocr/tesseract
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Marker: Convert PDF to Markdown quickly with high accuracy
Last update was pretty recent, and the git mentions tesseract 5 as a dep. so it's likely moved on a bit from when you last tried it:
https://github.com/tesseract-ocr/tesseract/releases
I suppose it depends on your use-case. For personal tasks like this it should be more than sufficient, and won't need user details/cc or whatever to use it.
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How to Read Text From an Image with Python
Tesseract is an open-source OCR engine developed by Google. It is highly accurate and supports multiple languages. This library will do all the heavy lifting for us. We'll use it in this tutorial to quickly read the text in some images.
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OpenAI is too cheap to beat
> Does android even have native OCR?
Tesseract? https://github.com/tesseract-ocr/tesseract
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So You Decided to Extract Recipe Text From Scans of Your Grandpa's Old Cookbook Using Pytesseract (+ My Grandma's Fig Cake Recipe) (+ Hidden Recipes To Be Found)
Install Google Tesseract OCR (additional info how to install the engine on Linux, Mac OSX and Windows). You must be able to invoke the tesseract command as tesseract. If this isn’t the case, for example because tesseract isn’t in your PATH, you will have to change the “tesseract_cmd” variable pytesseract.pytesseract.tesseract_cmd. Under Debian/Ubuntu you can use the package tesseract-ocr. For Mac OS users. please install homebrew package tesseract.
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I used Node.js to OCR "Meme Monday" threads
OCR detection will be done with Tesseract.
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How to ingest image based PDFs into private GPT model?
I’ve used Tesseract for this. It seems to work well with tabular data. https://github.com/tesseract-ocr/tesseract
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What should I use to take notes in college?
If you go this route, then using an app that can convert your handwritten notes to a digital format (indexed text), will give you a good balance between cognitive processing and efficient data storage/management; you can likely find many such apps on the App Store or Google Play. If you're interested in something more hands-on, on Arch you can probably experiment with Tesseract OCR in an interesting way (Example).
gazou
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Reading Visual Novels in Japanese - Help & Discussion Thread - May 15
...currently reading KoiChoco PSP, with the help of ScreenTranslator. I think that's the best OCR translator for Linux, since I don't know how to get gazou working.
What are some alternatives?
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)
crow-translate - A simple and lightweight translator that allows you to translate and speak text using Google, Yandex Bing, LibreTranslate and Lingva.
pytesseract - A Python wrapper for Google Tesseract
Memento - An mpv-based video player for studying Japanese
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
ScreenTranslator - Screen capture, OCR and translation tool.
OpenCV - Open Source Computer Vision Library
qolibri - Continuation of the qolibri EPWING dictionary/book reader
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
motioncam - Motion Cam is a camera application for Android that replaces the entire camera pipeline. It consumes RAW images and uses computational photography to combine multiple images to reduce noise.
Face Recognition - The world's simplest facial recognition api for Python and the command line
fugashi - A Cython MeCab wrapper for fast, pythonic Japanese tokenization and morphological analysis.