Paperless
tessdata
Paperless | tessdata | |
---|---|---|
27 | 10 | |
7,543 | 5,890 | |
- | 1.0% | |
5.3 | 2.8 | |
about 3 years ago | about 2 months ago | |
Python | ||
GNU General Public License v3.0 only | Apache 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.
Paperless
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🔍Underrated Open Source Projects You Should Know About 🧠
Paperless-ngx is the successor to the original Paperless & Paperless-ng projects, both of which are now in public archive. The original projects are not dead, but rather, continued through the open source community!
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Paperless-Ngx v2.0.0
There's this:
https://github.com/the-paperless-project/paperless/issues/20
I don't know if it made it's way into this fork.
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Welche App zum Einscannen von privaten Unterlagen ist empfehlenswert?
Paperless: https://github.com/the-paperless-project/paperless
- Québec lifehack: la BanQ!
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My take on document archiving: Virtualpaper
Agreed. It's difficult to beat paperless* for single-user systems. It does have some rudimentary user management from Django, but it's an admin party and there's no way to give users separate repositories. They've been looking into it for years, going back as far as the original paperless project. I imagine such a feature is difficult to add on as an afterthought because it touches everything, so it should be built in from the very beginning. And it seems they're looking for a perfect implementation, which may or may not exist. Thus, years later, paperless* remains effectively a single-user app.
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Paperless-NGX
If I understand this correctly, the original Paperless was archived (Archival notice)[https://github.com/the-paperless-project/paperless/commit/9b...], so Paperless-NG was created.
Now that Paperless-NG seems to be going unmaintained (last commit on 15th Sep 2021), Paperless-NGX has been created with a focus on an org, so that the continuity of the project can be maintained with a simple path for the original creators to join back if they want to.
I don't think the community could have handled this better!
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Announcing first release of Paperless-ngx, the community-supported successor to Paperless-ng
As many of you know "Paperless-ng" was a very popular fork of the document management system "Paperless". The initial author of -ng, Jonas Winkler, created an amazing project that was eventually designated as the 'official' successor. He maintained a furious development pace for some time but as of this post hasn't been heard from in months. A group of folks dedicated to the software (myself included) decided to try and revive the project and hopefully set it up for a long future. Yes, a similar thing happened with the original Paperless, we are hoping to avoid some of the same mistakes. See jonaswinkler/paperless-ng#1599, jonaswinkler/paperless-ng#1632 and historically the-paperless-project/paperless#711 if you are curious for more about all of this.
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Alternative paperless-ng
yes, I know that project. Paperless-ng is actually a fork of paperless project. I borrowed many great ideas from both projects. Unfortunately both projects are now archived (paperless-ng is not officially archived, but in last 6 months there was no development, as it looks to me that main developer lost interest in the project).
- Just want to share my homelab
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Can someone recommend me a decent cheap document scanner?
I have a Brother ADS-1700W, works fine, a little fiddly to set up the profiles for one touch scanning but once it's done it's fine. I set up a workflow with https://github.com/the-paperless-project/paperless that lets me scan straight into OCR. https://github.com/jonaswinkler/paperless-ng is the fork that I'm going to upgrade to in my CFT.
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).
What are some alternatives?
mayan-edms
tesseract-ocr-for-php - A wrapper to work with Tesseract OCR inside PHP.
Papermerge - Open Source Document Management System for Digital Archives (Scanned Documents)
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
Paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents
Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥
Docspell - Assist in organizing your piles of documents, resulting from scanners, e-mails and other sources with miminal effort.
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Mayan EDMS - Free Open Source Document Management System (mirror, no pull request or issues)
greenshot - Greenshot for Windows - Report bugs & features go here: https://greenshot.atlassian.net or look for information on:
CUPS - Apple CUPS Sources
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library