tessdata
tesseract-ocr
tessdata | tesseract-ocr | |
---|---|---|
10 | 122 | |
5,934 | 58,309 | |
1.8% | 1.6% | |
2.8 | 8.9 | |
2 months ago | 10 days ago | |
C++ | ||
Apache License 2.0 | Apache License 2.0 |
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tessdata
- Kubuntu use OCR
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Frog: OCR Tool for Linux
Appears to be a nice wrapper around Tesseract:
https://github.com/tesseract-ocr/tessdata
https://en.wikipedia.org/wiki/Tesseract_(software)
The demo of course works perfectly on a Mac as this is already built into Ventura.
In November 2020, Brewster Kahle from the Internet Archive praised Tesseract saying:
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My take on document archiving: Virtualpaper
The language packas are available at: https://github.com/tesseract-ocr/tessdata
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Has anyone used a RPI4 for OCR (Tesseract)? How did you feel about execution speed?
Then you could try different engines. --oem 0 disables the shiny new neural network stuff and uses the classic Tesseract engine; --oem 1 does the opposite. Try both, see which works best in terms of performance and accuracy for your particular use-case. You'll need to have training data for the legacy engine, though. These would work, or you could try tessdata_fast, which is specifically built for speed.
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Add more languages to your ServiceNow RPA OCR action
Go to the GitHub repo and get the trained data of your desired language --> https://github.com/tesseract-ocr/tessdata
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Is Capture2Text still the best OCR/Image text converter or are there any alternatives?
Capture2Text uses Google's Tesseract to perform OCR, so the accuracy when detecting foreign languages depends on the quality of the data files. Ones provided by Tesseract itself can be found here.
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PGS Subtitles Not Working in Web Browser
PGS graphical subtitle rendering is not supported in web browser. But we can convert it into text subtitle by using ML assisted OCR. https://github.com/tesseract-ocr/tessdata
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Hi, I built my first USEFUL docker setup. (it all works) Looking for advice on how it could be improved. It sets up an ubuntu machine to run a text recognition Flask server.
FROM ubuntu:18.04 RUN apt-get update RUN apt-get -y install curl RUN apt-get -y install wget unzip RUN mkdir tess5 RUN cd tess5 RUN wget https://github.com/tesseract-ocr/tesseract/archive/refs/tags/5.0.0-alpha-20210401.zip RUN unzip 5.0.0-alpha-20210401.zip RUN rm 5.0.0-alpha-20210401.zip WORKDIR /tesseract-5.0.0-alpha-20210401 RUN apt-get -y install autoconf automake libtool pkg-config libpng-dev libjpeg8-dev libtiff5-dev g++ # or clang++ (presumably) RUN apt-get install zlib1g-dev RUN apt-get -y install libleptonica-dev RUN ./autogen.sh RUN ./configure --enable-debug RUN LDFLAGS="-L/usr/local/lib" CFLAGS="-I/usr/local/include" make RUN make install RUN ldconfig WORKDIR /usr/local/share/tessdata RUN wget https://github.com/tesseract-ocr/tessdata/raw/master/eng.traineddata ENV TESSDATA_PREFIX=/usr/local/share/tessdata/
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Nifty little OCR script which I use a lot. Maybe one of you might make use of it as well.
You'll also need to go and get the trained language data from here: https://github.com/tesseract-ocr/tessdata/blob/master/eng.traineddata
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How do i use matlab ocr to recognize math equations?
The code looks fine, I think for whatever reason the 'MathEquations' network just does a poor job of recognizing the equations. The support package that includes the language is based on this open-source tessaract repo which seems to struggle with math equation recognition (at least based on this issue).
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?
tesseract-ocr-for-php - A wrapper to work with Tesseract OCR inside PHP.
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)
Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥
pytesseract - A Python wrapper for Google Tesseract
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
greenshot - Greenshot for Windows - Report bugs & features go here: https://greenshot.atlassian.net or look for information on:
OpenCV - Open Source Computer Vision Library
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Keycloak - Open Source Identity and Access Management For Modern Applications and Services
Face Recognition - The world's simplest facial recognition api for Python and the command line