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. - Source: dev.to / 2 months ago
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. - Source: dev.to / 6 months ago
> Does android even have native OCR? Tesseract? https://github.com/tesseract-ocr/tesseract. - Source: Hacker News / 7 months ago
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... Source: 8 months ago
OCR detection will be done with Tesseract. - Source: dev.to / 9 months ago
I’ve used Tesseract for this. It seems to work well with tabular data. Https://github.com/tesseract-ocr/tesseract. Source: 10 months ago
If you go this route, then using an app that can convert your handwritten notes to a digital format (indexed text), will give you a good balance between cognitive processing and efficient data storage/management; you can likely find many such apps on the App Store or Google Play. If you're interested in something more hands-on, on Arch you can probably experiment with Tesseract OCR in an interesting way (Example). Source: 10 months ago
At work we use Tesseract (https://github.com/tesseract-ocr/tesseract) for OCR processing. Our workflow is to run it on images. I haven't tried it on handwriting but would definitely be interested in exploring this further. Source: 11 months ago
I use Tesseract, I have a shortcut set to take a screenshot pass it to OCR and then put the content in my clipboard. Source: about 1 year ago
PDF format is the first part of the problem. You might be slightly better off to get scanned documents as TIFF files. In theory, you could OCR them with Tesseract, if you could install on every machine and use VBA to call the API. unfortunately, no examples. Source: about 1 year ago
I have recently discovered a few very helpful github packages which help me make notes while listening to lectures. These would be 1. Pix2tex (allows you to scan an equation and convert it to latex) 2. Pix2text (allows you to scan an equation with words in it and converts it to latex and text) 3. Tesseract (not really a physics related package, but it does allow me to copy notes from transcripts easily) 4.... Source: about 1 year ago
Use machine learning also known as magic to read the characters also known as tesseract https://github.com/tesseract-ocr/tesseract. Source: about 1 year ago
I suggest manually creating a dataset using scribd.com. It offers a free trial period of 30 days, but I am uncertain whether it covers unlimited documents or not. Nevertheless, there are over one million statements of purpose (SOPs) available on the site. You could also use the Scribd downloader. Some documents may be composed of a bunch of images, so you will have to use something like Tesseract OCR. Source: about 1 year ago
If you want to stay in the open source/free realm, there’s Tesseract OCR from Google that is pretty good and free: https://github.com/tesseract-ocr/tesseract. Source: about 1 year ago
If you want image to text I would recommend https://github.com/tesseract-ocr/tesseract. Source: about 1 year ago
> (…) better than Tesseract Isn’t Tesseract also neural network-based? https://github.com/tesseract-ocr/tesseract. - Source: Hacker News / over 1 year ago
The ocr filter in ffmpeg is powered by the Tesseract library. As you will often find in ffmpeg, the build within ffmpeg has only a subset of the functionality of the original library - at least, for the moment. There's always the possibility of APIs being expanded in later ffmpeg releases. And it is open source of course, so there's the option of instigating those changes yourself - or using the original library... - Source: dev.to / over 1 year ago
After that you would use Tesseract-OCR to OCR the pages. Tesseract is a open source multiplatform OCR software. If the typeface is something non standard you would have to train the recognition engine on your data. Source: over 1 year ago
Alternatively, look into Tesseract. Allows you to do offline/local OCR; it might be a better option if you're on a tight budget with a huge image dataset. You could also look into training Tesseract with your own annotated text images for better results if you find the base model doesn't suit your needs. Source: over 1 year ago
That sounds like it will almost certainly require custom scripting because your use case is unique. You can probably break down the problem into multiple steps which are easier to address. There is some decent pdf software out there that can handle OCR (optical character recognition) though barcodes specifically are a bit harder to get opensource solutions for - the main one being tesseract... Source: over 1 year ago
Rescribe is front-end for Google's Tesseract OCR engine. You can run rescribe against a folder/directory of image files (e.g. pngs). Source: over 1 year ago
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