nodejs-vision
tesseract-ocr
nodejs-vision | tesseract-ocr | |
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48 | 121 | |
494 | 58,022 | |
- | 1.1% | |
7.3 | 8.9 | |
over 1 year ago | 7 days ago | |
TypeScript | C++ | |
Apache License 2.0 | Apache License 2.0 |
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nodejs-vision
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GitHub Is Sued, and We May Learn Something About Creative Commons Licensing
Google also used all of this to improve their OCR algorithms, almost certainly used in Google Cloud Vision[0], but I doubt this was a consideration when deciding if it was transformative/fair use.
0: https://cloud.google.com/vision
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API that describes/labels images
You are looking for a computer vision object recognition api, and there are several, all of which cost money. Here are a couple Google’s Microsoft’s
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Unique images help - right?
For an example, Google Cloud API which can read images even facial expression and much more and also can differentiate which Image is violating google terms and condition like - pronographic image
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Just realized my algo is useless in live markets using heikin ashi
tool/software = https://cloud.google.com/vision
- MIERUKO CHAN CHAPTER 46
- [DISC] Mieruko-chan - Ch 46
- [DISC] Rosen Garten・Saga - Episode29「出番 〜Persona〜」 RAW
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I didn’t lose a grey mid.. so is this fake or am I crazy and just can’t remember?
I think you’re underestimating how good OCR tech is. Yeah, shitty penmanship will be harder for software to interpret just as it is for the human eye, but legible ink isn’t much of a problem. I just tried scanning my number off my discs and my iPhone digitized it without issue. This technology is essentially made for digitizing handwritten text. Try it yourself if you’d like: https://cloud.google.com/vision
- GMB is Rejecting Everything for Us - Is This the New Normal or a Glitch?
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Discussion - Raw japanese scans - Chapter 66 - Kemono Jihen / 怪物事変
you guys can use this website to extract the japanese texts from the manga pages : https://cloud.google.com/vision/ , then you can google-translate the texts .
tesseract-ocr
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Highlighting Image Text
We are going to be using an OCR (Optical Character Recognition) engine called Tesseract for the image-to-text recognition part. It is free software, released under the Apache License. Install the engine for your desired OS from their official website. I'm using Windows for this. Add the installation path to your environment variables.
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one of the Codia AI Design technologies: OCR Technology
You will also need to install the Tesseract OCR engine, which can be downloaded and installed from the following link: https://github.com/tesseract-ocr/tesseract
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Leveraging GPT-4 for PDF Data Extraction: A Comprehensive Guide
PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]
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OCR text to speech for disability
It uses teseract for the OCR https://github.com/tesseract-ocr/tesseract
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Marker: Convert PDF to Markdown quickly with high accuracy
Last update was pretty recent, and the git mentions tesseract 5 as a dep. so it's likely moved on a bit from when you last tried it:
https://github.com/tesseract-ocr/tesseract/releases
I suppose it depends on your use-case. For personal tasks like this it should be more than sufficient, and won't need user details/cc or whatever to use it.
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How to Read Text From an Image with Python
Tesseract is an open-source OCR engine developed by Google. It is highly accurate and supports multiple languages. This library will do all the heavy lifting for us. We'll use it in this tutorial to quickly read the text in some images.
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OpenAI is too cheap to beat
> Does android even have native OCR?
Tesseract? https://github.com/tesseract-ocr/tesseract
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So You Decided to Extract Recipe Text From Scans of Your Grandpa's Old Cookbook Using Pytesseract (+ My Grandma's Fig Cake Recipe) (+ Hidden Recipes To Be Found)
Install Google Tesseract OCR (additional info how to install the engine on Linux, Mac OSX and Windows). You must be able to invoke the tesseract command as tesseract. If this isn’t the case, for example because tesseract isn’t in your PATH, you will have to change the “tesseract_cmd” variable pytesseract.pytesseract.tesseract_cmd. Under Debian/Ubuntu you can use the package tesseract-ocr. For Mac OS users. please install homebrew package tesseract.
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I used Node.js to OCR "Meme Monday" threads
OCR detection will be done with Tesseract.
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How to ingest image based PDFs into private GPT model?
I’ve used Tesseract for this. It seems to work well with tabular data. https://github.com/tesseract-ocr/tesseract
What are some alternatives?
open_nsfw - Not Suitable for Work (NSFW) classification using deep neural network Caffe models.
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)
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
pytesseract - A Python wrapper for Google Tesseract
streamlit - Streamlit — A faster way to build and share data apps.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
forgefed - ForgeFed - Federation Protocol for Forge Services
OpenCV - Open Source Computer Vision Library
google-cloud-ops-agents-ansible - Ansible Role for Google Cloud Ops
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
cloud-builders - Builder images and examples commonly used for Google Cloud Build
Face Recognition - The world's simplest facial recognition api for Python and the command line