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Frog: OCR Tool for Linux
- recuter 4y agoAppears to be a nice wrapper around Tesseract: https://github.com/tesseract-ocr/tessdata https://github.com/tesseract-ocr/tessdata https://en.wikipedia.org/wiki/Tesseract_(software) https://en.wikipedia.org/wiki/Tesseract_(software) The demo of course works perfectly on a Mac as this is already built into Ventura. If you haven't experienced it yet ye olde ctrl-f now seamlessly sneaks a peak into images on the page for example, surprisingly useful. In November 2020, Brewster Kahle from the Internet Archive praised Tesseract saying: Tesseract has made a major step forward in the last few years. When we last evaluated the accuracy it was not as good as the proprietary OCR, but that has changed– we have done evaluations and it is just as good, and can get better for our application because of its new architecture. Anybody have an up to date breakdown of available OCR solutions?
- Icko 4y agoLast I compared them, (1-2 years ago), Google OCR was much much better and supported more languages than tesseract. There was also an OCR in openCV, which was slightly better than tesseract, but not good enough to be useful.
- rafram 4y agoI’m not aware of any separate OCR in OpenCV. Some builds include an interface to Tesseract, which might be what you’re thinking of. Tesseract certainly benefits from preprocessing (conversion to grayscale, posterization) with OpenCV.
- Icko 4y agoThere was "EAST OCR" detector, which is basically someone put a deep learning model in openCV somehow. https://www.folio3.ai/blog/text-detection-by-using-opencv-and-east/ https://www.folio3.ai/blog/text-detection-by-using-opencv-an...
- lasagna_coder 4y agoWhat are these projects are you referring to? AFAIK Tesseract is sponsored by Google, from what I understand it is state of the art, ie it is Google OCR. Searching for OCR with OpenCV only reveals using OpenCV with Tesseract, not rolling its own OCR, OpenCV being used to preprocess images to optimise them for Tesseract. Maybe I'm missing something, so I'm interested if you can point me in the right direction.
- spi 4y agoGoogle OCR is definitely not the same as Tesseract, although it's true that Tesseract is maintained by Google. Google OCR has definitely much higher accuracy and is significantly faster (basically always taking 1s for inference, while Tesseract can easily take 10s or more for dense pages). Source: I work in developing a competing OCR service and we keep an eye on competition (e.g. aside from Google, solutions by Azure, Amazon, Abbyy, Nuance, Cloudmersive, etc., as well as our internal product of course, which is not available externally), and they are (almost) all significantly better on Tesseract. The only domain where Tesseract is competitive is for perfect "black text on white paper", it gives pretty poor performance when dealing with colored, distorted text, or even strong page structure effects (tables, etc.). When I say "pretty poor" I mean: "with respect to the state-of-the-art", of course it's still enormously better than what was the state-of-the-art before deep learning came into the picture, roughly a decade ago. And for things like "search contents of a book" it's basically perfect already.
- recuter 4y ago> Source: I work in developing a competing OCR service and we keep an eye on competition (e.g. aside from Google, solutions by Azure, Amazon, Abbyy, Nuance, Cloudmersive, etc., as well as our internal product of course, which is not available externally), and they are (almost) all significantly better on Tesseract. Great. How do you quantify it and keep track? Is there an industry standard benchmark? Would you consider sharing a backblaze type analysis (they track consumer HD performance and blogging about it got them a lot of attention and customers)?
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- holbue 4y agoI agree, there are way better cloud based and proprietary OCR solutions out there. But Tesseract still seems to deliver the best results among the FOSS tools, doesn't it? Back in the days, Cuneiform got close to Tesseract's performance, but AFAIK it wasn't developed further... Does anyone else know other promising open-source OCR engines?
- nickserv 4y agoThere's also DocTR which can do text detection and extraction out of the box. It's command line driven but can display the detected text as an overlay of the document. https://github.com/mindee/doctr https://github.com/mindee/doctr
- jibbers 4y agoAnd for older Mac OS's T-Rex https://trex.ameba.co https://trex.ameba.co
- captnswing 4y agoOn a Mac, for ad-hoc OCR, I use the immensely useful CleanShot X https://cleanshot.com/ https://cleanshot.com/ (which is well worth paying for). Among many other things, it offes OCR of any region on the screen for larger-scale OCR processing of pdfs and other files, I love how s3-ocr https://simonwillison.net/2022/Jun/30/s3-ocr/ https://simonwillison.net/2022/Jun/30/s3-ocr/ makes working with AWS Textract OCR more accessible (though, somehow, Textract refuses to fully OCR larger pdfs I possess..)
- kube-system 4y agoOn the latest MacOS, OCR happens automatically in any screenshot, or any image you open in Preview. Try Command+Shift+4, grab part of the screen, click the pop-up, and just select text.
- ce4 4y agoI use https://kebekus.gitlab.io/scantools https://kebekus.gitlab.io/scantools for scanning, it builds on top of tesseract and works great for pdf enhancements
- rjzzleep 4y agoYou might be interested in https://github.com/ocrmypdf/OCRmyPDF https://github.com/ocrmypdf/OCRmyPDF then. It does quite some preprocessing on the PDF pages before passing it on to tesseract.
- angrygoat 4y agoI've found ocrmypdf to be excellent: the only issue I've had is with PDFs with differing page sizes; it seems to scale everything up to the size of the largest page, which can be a bit of a pain.
- bjacobt 4y agoI’ve had good results from paddle ocr. https://github.com/PaddlePaddle/PaddleOCR https://github.com/PaddlePaddle/PaddleOCR
- IceHegel 4y agoIn 2019 I was working on a project that involved OCRing millions of scanned historical documents. I evaluated Google, Azure, Amazon, Adobe, ABBYY, and Tesseract somewhat rigorously. Google's was by far the best, especially for obscured or malformed characters. Azure was second and I ended up merging the results from both. For my use case (in Spring 2019) Tesseract was not very accurate and struggled with slanted text especially. Hopefully that has changed.
- habibur 4y agoUses tesseract OCR on the ocr part.
- throwawaaarrgh 4y ago....why is it named frog?
- MeteorMarc 4y agoFrog already is a Nlp package in Debian
- xchip 4y agoNice, but it should give credits to Tesseract and mention how much HD space it requires for the UI dependencies.
- noisediver 4y agoA useful tool and great UI work. A handy extension would be the ability to extract text of specific colour, e.g. the highlights in Kindle's Cloud Reader, to get around the 10% highlight export cap that Amazon puts on most books. I did this previously by running the screenshot through ImageMagick's colour filling and thresholding options before passing the output to Tesseract. A colour picker tool might be a nice addition.
- rjzzleep 4y agoThis looks like a nice app. I was looking for something like this a while back until I noticed that there are "one" liners that can you can setup for a hotkey: #!/usr/bin/env bash langs=(eng ara fas chi_sim chi_tra deu ell fin heb hun jpn kor nld rus tur) lang=$(printf '%s\n' "${langs[@]}" | dmenu "$@") maim -us | tesseract --dpi 145 -l eng+${lang} - - | xsel -bi
- tjoff 4y agoNice, that is great! I adapted this to work for me on wayland (sway): grim -g "$(slurp)" - | tesseract --dpi 145 -l eng+${lang} - - | wl-copy Using grim to take a screenshot, slurp to mark a region on your screen and wl-copy to copy to clipboard.
- tmerse 4y agoNice! Didn't know about maim. This looks better than what I currently use (found it somewhere on the internet). #!/bin/bash SRC_IMG=$(mktemp -u /tmp/ocr_XXXXXXXXX.png) scrot --select "$SRC_IMG" -q 100 mogrify -modulate 100,0 -resize 400% "$SRC_IMG" tesseract "$SRC_IMG" "$SRC_IMG" &> /dev/null OCR_RESULT=$(cat "$SRC_IMG.txt") echo "$OCR_RESULT" notify-send "$OCR_RESULT" xsel -bi < "$SRC_IMG.txt"
- ever1337 4y agoyeah, i have a script almost identical to this that i've been using with i3 for a long time
- ensocode 4y agoThis is a nice app, thanks. I am using a similar a bit less UI-heavy tool based on Tesseract as well. It's called Normcap: https://github.com/dynobo/normcap https://github.com/dynobo/normcap
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- jalacang 4y agoL
- mavu 4y agoI probably shouldn't but I dislike using libraries for the main part of your project and then not even mentioning that you are using them. Seems dishonest to me, but maybe I'm just too strict.
- mewse-hn 4y agoYeah.. if I have to dig into your python code on github to figure out what library you're using for the main feature of your project (OCR in this case), I'm not impressed
- seltzered_ 4y agoOh nice. There hasn't been a good ocr screenshot tool with Wayland support yet so look forward to trying this. IIRC there's been.. Linux: dpScreenOCR - x11 only last I checked in and now Frog MacOS: screenotate, prizmo Windows: screenotate I don't get all the nitpick comments. OCR tools like this are extremely useful when dealing with excerpting text from certain websites (slack) or taking class notes from video.
- holbue 4y agoHere's a list with more tools like this, in case you are interested: https://github.com/dynobo/normcap#similar-open-source-tools https://github.com/dynobo/normcap#similar-open-source-tools
- twobitshifter 4y agoOn windows this is built into powertoys. win+shift+T is the default shortcut. https://learn.microsoft.com/en-us/windows/powertoys/text-extractor https://learn.microsoft.com/en-us/windows/powertoys/text-ext...
- ChuckNorris89 4y agoJust tried I and it works pretty nice. Thanks for the tip.
- schappim 4y agoFYI if you’re on a Mac, I’ve made this similar tool: https://github.com/schappim/macOCR https://github.com/schappim/macOCR
- lervag 4y agoCool! I've seen similar ideas before and made my own inspired by these some years ago. It's a simple bash script based on Flameshot [0] for taking the screenshot and Tesseract: #!/usr/bin/env bash rm -f /tmp/screen.png flameshot gui -p /tmp/screen.png tesseract \ -c page_separator="" \ -l "eng" \ --dpi 145 \ /tmp/screen.png /tmp/screen if [ "$(wc -l < /tmp/screen.txt)" -eq 0 ]; then notify-send "ocrmyscreen" "No text was detected!" exit 1 fi xclip /tmp/screen.txt notify-send "ocrmyscreen" "$(cat /tmp/screen.txt)" [0]: https://flameshot.org/ https://flameshot.org/