ocrad.js | OCR in Javascript via Emscripten

 by   antimatter15 JavaScript Version: Current License: GPL-3.0

kandi X-RAY | ocrad.js Summary

kandi X-RAY | ocrad.js Summary

ocrad.js is a JavaScript library. ocrad.js has no vulnerabilities, it has a Strong Copyleft License and it has medium support. However ocrad.js has 30 bugs. You can download it from GitHub.

ocr in javascript via emscripten by [kevin kwok] as with any minor stepping stone on the road to hell relentless trajectory of atwood’s law, i probably don’t need to justify the existence of yet another "x, but now in javascript!", but i might as well try. after all, we all would like to think that there’s some ulterior motive to fulfilling that prophecy. on tablet or other touchscreen devices- of which there are quite a number of nowadays (as the new year’s eve post, i am obliged to include conjecture about the technological zeitgeist), a library such as ocrad.js might be used to add handwriting input in a device and operating system agnostic manner. oftentimes, capturing the strokes and sending them over to a server to process might entail unacceptably high latency. maybe you’re working on an offline-capable note-taking app, or a browser extension which indexes all the doge memes that you stumble upon while prawling the dark corners of the internet. if you’ve been following my trail of blog posts recently, you’d probably be able to tell that i’ve been scrambling to finish the program that i prototyped many months ago overnight at a hackathon. the idea of the extension was kind of simple and also kind of magical: a browser extension that allowed users to highlight, copy, and paste text from any image as if it were plain
Support
    Quality
      Security
        License
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            kandi-support Support

              ocrad.js has a medium active ecosystem.
              It has 3442 star(s) with 407 fork(s). There are 139 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 24 open issues and 19 have been closed. On average issues are closed in 175 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ocrad.js is current.

            kandi-Quality Quality

              ocrad.js has 30 bugs (0 blocker, 0 critical, 18 major, 12 minor) and 1 code smells.

            kandi-Security Security

              ocrad.js has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ocrad.js code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ocrad.js is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              ocrad.js releases are not available. You will need to build from source code and install.
              ocrad.js saves you 316 person hours of effort in developing the same functionality from scratch.
              It has 759 lines of code, 0 functions and 12 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ocrad.js
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            ocrad.js Key Features

            No Key Features are available at this moment for ocrad.js.

            ocrad.js Examples and Code Snippets

            No Code Snippets are available at this moment for ocrad.js.

            Community Discussions

            QUESTION

            Numbers OCR (Optical Recognition) in javascript
            Asked 2019-Oct-10 at 21:15

            I am looking for Javascript API for OCR or Machine Learning example (Tensorflow.js or any other) which can recognize numbers from the picture. I tried tesseract.js and OCRAD.js, but both do not work well with this kind of image. I only need numbers from this picture like 2.243 and 0048. I also put to tesseract.js settings, that it is numbers only, but it did not help much.

            The picture is a photo of the digital device, which does not have API to connect and get data digitally. I would like to use webcam and javascript OCR and get these numbers periodically from this device to the list and build the graphs later.

            I found a lot of examples for Tensorflow recognition of handwritten digits, but all of them can recognize only one digit, they cannot recognize a number consisting of more than 1 digits.

            P.S. I do not want to spend a lot of time, actually I do not have this time :). Just want to reuse ready example.

            ...

            ANSWER

            Answered 2019-Oct-10 at 21:15

            I have used AWS Rekognition and Azure Cognitive Services. Both perform well in terms of accuracy. I found Azure's HTTP model simpler.

            Please bear in mind that both Azure and AWS have different offerings for extracting printed text (OCR) and text inside pictures.

            Azure

            https://westus.dev.cognitive.microsoft.com/docs/services/56f91f2d778daf23d8ec6739/operations/587f2c6a154055056008f200

            Steps for configuring Azure Cognitive Services

            AWS Rekognition

            https://docs.aws.amazon.com/rekognition/latest/dg/text-detection.html

            This is what I got from AWS Rekognition by using your image

            EAST text detector

            You could give this a try. OpenCV embeds this. You will have to set up your back end service.

            https://www.youtube.com/watch?v=o5asMTdhmvA https://www.youtube.com/watch?v=NfiCmhLLxMA

            Source https://stackoverflow.com/questions/58331032

            QUESTION

            Compare values in an array using if conditions in a for loop
            Asked 2018-Jan-06 at 23:05

            so I'm utilizing the Ocrad.js library in an ionic project to be able to read text from images. In the app, the user can add 'items' (as in words) to an array and then I would like to check whether or not these items (words) are present in the text from the image. For instance: if the image has a sentence: 'I like football' and the user added the word 'football' to the list, on the press of a button, the app would check whether or not 'football' exists in 'I like football' and would say so to the user. In an else occasion, it would also say so.

            So far I came up with this situation:

            ...

            ANSWER

            Answered 2018-Jan-06 at 19:40

            You should use an nested for loop.

            Source https://stackoverflow.com/questions/48130995

            QUESTION

            Is there any UpToDate possible way to transform PDF/DocX into Text via Javascript
            Asked 2017-Mar-19 at 17:15

            ...

            ANSWER

            Answered 2017-Mar-19 at 17:15

            Sorry if this was not clearly explained in the documentation, but pdfreader is meant to be run on node.js, not in a web browser. Hence the require problem.

            Here is how to convert your PDF résumé into text, from Node.js:

            Source https://stackoverflow.com/questions/42779721

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ocrad.js

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/antimatter15/ocrad.js.git

          • CLI

            gh repo clone antimatter15/ocrad.js

          • sshUrl

            git@github.com:antimatter15/ocrad.js.git

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