Tesseract.js
binaryen
Tesseract.js | binaryen | |
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32 | 14 | |
33,577 | 7,128 | |
1.9% | 1.1% | |
8.2 | 9.8 | |
7 days ago | 3 days ago | |
JavaScript | WebAssembly | |
Apache License 2.0 | Apache License 2.0 |
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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/
binaryen
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Bring garbage collected programming languages efficiently to WebAssembly
The Binaryen wasm optimizer (mentioned in the article) is always open for contributions,
https://github.com/WebAssembly/binaryen
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Random Testing of WebAssembly Implementations Using Semantically Valid Programs
The end of the related work section cites both wasm-smith and the Binaryen fuzzer (https://github.com/WebAssembly/binaryen/wiki/Fuzzing) and says, "They both provide a fuzzer that turns a stream of bytes into a WebAssembly module in order to test implementations. Their fuzzers always generate semantically valid test cases, but lack the targeting and tuning that Xsmith provides."
I look forward to reading more about how they do the targeting and tuning.
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Web assembly book?
Binaryen or the LLVM of wasm: https://github.com/WebAssembly/binaryen
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You can reduce web build file size by 4mb by using Binaryen
Download Binaryen
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What's the best way to generate WASM programmatically?
Probably https://github.com/WebAssembly/binaryen/, there were various rust bindings to it.
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Build a WebAssembly Language for Fun and Profit: Code Generation
The final phase of our compiler is code generation. This phase takes the AST and converts it to a set of executable instructions. In our case, WebAssembly. To accomplish this, we are going to use a popular WebAssembly compiler toolchain called binaryen.
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Build a WebAssembly Language for Fun and Profit: Lexing
In this guide, we will be using TypeScript and NodeJS. The concepts are highly portable, so feel free to use the environment you're most comfortable with. Our only major dependency, binaryen, has a simple C API. You are welcome to skip ahead to the next section if you're using a different language.
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Rust and WebAssembly without a Bundler
What are the size and performance benefits of processing the Wasm payload with wasm-opt?
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Is WebAssembly Text (WAT) Just Another IR?
I would recommend looking into binaryen as it has it's own IR and can perform optimizations over it. It's also simpler than LLVM and has the option to produce binaries with debug names.
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What are the advantages or disadvantages of compiling to VM Bytecode vs native machine code?
You can also use binaryen to optimize your wasm output
What are some alternatives?
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)
wasm-bindgen - Facilitating high-level interactions between Wasm modules and JavaScript
Brain.js - Simple feed-forward neural network in JavaScript
wasi-sdk - WASI-enabled WebAssembly C/C++ toolchain
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
wasi-libc - WASI libc implementation for WebAssembly
Keras.js - Run Keras models in the browser, with GPU support using WebGL
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
workers-wasi
ConvNetJS - Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
asyncify - Standalone Asyncify helper for Binaryen