tesseract-ocr VS deep-license-plate-recognition

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

PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]

It uses teseract for the OCR https://github.com/tesseract-ocr/tesseract

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.

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.

> Does android even have native OCR?

Tesseract? https://github.com/tesseract-ocr/tesseract

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.

OCR detection will be done with Tesseract.

I’ve used Tesseract for this. It seems to work well with tabular data. https://github.com/tesseract-ocr/tesseract

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).

One of the plate recognizers I used identified the plate as NAK N97. However the license plate search turned up nothing. https://platerecognizer.com/ I cropped the picture of the car in question and uploaded it to the plate recognizer site. It labeled the make and model of the car as well as revealing the plate number it thought it saw.

Du kan prøve at uploade det her: https://platerecognizer.com/

if anyone knows an up-to-date license plate reader version. https://github.com/openalpr/openalpr is outated, doesn't read different angles natively, traning tools are also outated etc but anyone knows an open source version that as well as say https://platerecognizer.com/ or even https://www.openalpr.com/ please let me know.

If you can get a screenshot with the license plate, try uploading it to a service like https://platerecognizer.com

You can't even escape it in real-life! Proximity marketing with Bluetooth beacons. Wifi-tracking. People-counters. Gaze-tracking. Prism (old tech! lol). License-plate tracking. Hundreds of apps have backdoors in them to record your geolocation data. Car-tapping. Telematics.

Yes, https://platerecognizer.com/