hsk30 VS tesseract-ocr

Alternative sources include this Dropbox file, this post I made at Chinese Forums, both here and here on Github.

The current HSK 1-6 uses a vocabulary list that was published around 2010. These exams will be revamped in a couple years, and one of the changes will be a transition to a new vocabulary list. The HSK 7-9 uses this new vocabulary list, so you'll see some words from the current HSK 6 list on there.

These are compiled from a few resources. Hacking Chinese provided the "most frequent radicals in the most frequent characters" list, along with pinyin, description and notes (article, github). CHISE Project provided character structure breakdowns for 20,000+ characters in the main Unicode set (github). Another github project provided the HSK 3.0 character list used for examples. And finally, I'm using strokeorder.info to show the regular script forms.

There's no need to enter your email address to get this wordlist. It's been freely available for months at this GitHub repo.

Here is a Github with the wordlist.

The words listed at the links below were on the current HSK 2.0 vocabulary, but they are not on the new HSK 3.0 vocabulary.

You have to download the list from somewhere like this (the new HSK vocab).

new HSK 3.0 vocabulary list

Here is thePleco Forums link for the new HSK flashcards, and the github repo.

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.

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