links-detector
Tesseract.js
| links-detector | Tesseract.js | |
|---|---|---|
| 3 | 32 | |
| 184 | 33,498 | |
| - | 1.7% | |
| 0.0 | 8.2 | |
| over 1 year ago | 12 days ago | |
| TypeScript | JavaScript | |
| MIT License | Apache License 2.0 |
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links-detector
- Training a Printed Links Detector Using TensorFlow 2 Object Detection API
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📖 👆🏻 Making the Printed Links Clickable Using TensorFlow 2 Object Detection API
In case if Python code blocks in this article will lack proper formatting on this platform feel free to to read the article on GitHub
Tesseract.js
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I am out of the loop. Is Next.js "the future" and something I should consider adding to my knowledge pool?
What do you have against tesseract.js?
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Browser Based Document Recognition
Are you able to use a OCR library in the browser? Here is one I found
- Scanare și digitizare bonuri – n-ar trebui să meargă mai bine cu generația asta de AI?
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what is the best package to read text content from a pdf in js?
But keep in mind, PDFs can be fully or partially made of images, and if you want text out of those, you will need to OCR them. There's tesseract.js for that.
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Can anyone comment on the state of the tech or recommend a package that can convert an uploaded photo of handwriting into text ?
Tesseract.js
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Extract information from image into JSON
YOu could try using tesseract.js to OCR the images. Though might be a challenge to figure out the times/days of the classes.
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WebDev Recommendations to Mimic AWS Textract Demo Functionality
I've never used it - but Tesseract.js looks interesting. Perhaps you can use it as a foundation on which to build something like the AWS tool (which seems to work by overlaying an SVG over the top of the image, then manipulates that SVG when user clicks on a results tag to get the word/phrase's highlight box to display)?
- Can I use OCR to recognize text and then paste its contents elsewhere?
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How to implement invoice OCR on React Native
I tried researching a little on this topic, so from what I understand to achieve this feature, I would need a library that supports Optical character Recognition (OCR) such as Tesseract.js or Google ML Kit to do it. However, I'm not too sure if these libraries will be supported on React Native apps.
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Word Quake - write words, avoid the shakes, powered by Tesseract.js
It's definitely one of the best for on-the-fly OCR, but I think a server-based implementation using Google's Vision API would be way better. Definitely not mine, the AI used here is way beyond my skill level - link: https://tesseract.projectnaptha.com/
What are some alternatives?
nsfw-filter - A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.
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)
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
Brain.js - Simple feed-forward neural network in JavaScript
awesome-public-datasets - A topic-centric list of HQ open datasets.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
ailab - Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
Keras.js - Run Keras models in the browser, with GPU support using WebGL
breach-protocol-autosolver - Solve breach protocol minigame in second(s). Windows/Linux/GeForce Now/Google Stadia. Every language.
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
yolov5js - Effortless YOLOv5 javascript deployment
ConvNetJS - Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.