awesome-key-information-extraction
tesseract-ocr
| awesome-key-information-extraction | tesseract-ocr | |
|---|---|---|
| 1 | 123 | |
| 50 | 58,460 | |
| - | 1.8% | |
| 4.0 | 8.9 | |
| about 1 month ago | 7 days ago | |
| C++ | ||
| - | Apache License 2.0 |
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awesome-key-information-extraction
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[D] Can I use ML/AI to read the back panels of electronic components?
entropy2333/awesome-key-information-extraction: A curated list of papers about key information extraction.
tesseract-ocr
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Highlighting Image Text
We are going to be using an OCR (Optical Character Recognition) engine called Tesseract for the image-to-text recognition part. It is free software, released under the Apache License. Install the engine for your desired OS from their official website. I'm using Windows for this. Add the installation path to your environment variables.
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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
What are some alternatives?
DocumentInformationExtraction - Key Information Extraction From Documents: Evaluation And Generator
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)
document-key-information-extraction - # Extracting key information from pdf
pytesseract - A Python wrapper for Google Tesseract
KIE_invoice_minimal - Key information extraction from invoice document with Graph Convolution Network
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
OpenCV - Open Source Computer Vision Library
deepdoctection - A Repo For Document AI
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Information-extraction-from-document - Graph Key Information Extraction: GKIE
Face Recognition - The world's simplest facial recognition api for Python and the command line