tessdata
OCRmyPDF
tessdata | OCRmyPDF | |
---|---|---|
10 | 77 | |
5,934 | 12,134 | |
1.8% | 3.2% | |
2.8 | 9.5 | |
2 months ago | 3 days ago | |
Python | ||
Apache License 2.0 | Mozilla Public 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.
tessdata
- Kubuntu use OCR
-
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:
-
My take on document archiving: Virtualpaper
The language packas are available at: https://github.com/tesseract-ocr/tessdata
-
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.
-
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
-
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.
-
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
-
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/
-
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
-
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).
OCRmyPDF
-
TextSnatcher: Copy text from images, for the Linux Desktop
Try https://github.com/ocrmypdf/OCRmyPDF - it uses Tesseract behind the scenes and it absolutely brilliant.
- FLaNK Stack Weekly 19 Feb 2024
-
Calibre β New in Calibre 7.0
I recommend running any such PDFs through OCRmyPDF.
https://github.com/ocrmypdf/OCRmyPDF
-
A better document viewer
If by "like a photocopy" you mean the file contains images of text rather than text, the MacOS viewer presumably does OCR on the images. I don't know if there's a Linux document viewer with that capability built-in, but a quick search turned up the standalone tool OCRmyPDF.
- Gibts ein (CLI) tool, das Kontrast und Helligkeit von gescannten Textdokumenten dynamisch anpasst?
-
OCR for a full pdf on Neoreader
For anyone interested I solved the problem by first ocr files through the free and open source software ocrmypdf avaible here
-
ELI5: why is PDF such a widespread text format, instead of a format that's actually easier to edit?
ocrmypdf is nice for stuff like that.
- Donut: OCR-Free Document Understanding Transformer
-
massive crop and OCR newspaper
Use imagemagick to convert them to PDF and ocrmypdf to straighten and OCR. See this explanation.
-
OCR pdf and just keep the OCR text
Fair enough, maybe this might work for you, it should seperate the text from image anyway and if you have Adobe acrobat it should be able delete the background too with the edit function. It may already be able to do that if you haven't tried it
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-ocr - Tesseract Open Source OCR Engine (main repository)
pdfplumber - Plumb a PDF for detailed information about each char, rectangle, line, et cetera βΒ and easily extract text and tables.
Tesseract.js - Pure Javascript OCR for more than 100 Languages πππ₯
tesserocr - A Python wrapper for the tesseract-ocr API
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents
greenshot - Greenshot for Windows - Report bugs & features go here: https://greenshot.atlassian.net or look for information on:
invoice2data - Extract structured data from PDF invoices
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
pdfminer.six - Community maintained fork of pdfminer - we fathom PDF