How to build tesseract 4 beta on macOS

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Symbols count in article: 1.1k Reading time ≈ 1 mins. 
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brew info tesseract

tesseract: stable 3.05.01 (bottled), HEAD
OCR (Optical Character Recognition) engine

The result of recognizing Simplified Chinese is a bit terrible.
I noticed that it added a new neural network system based on LSTM after 4.0.0+.
But it needs to be built from source code on macOS.
Fortunately, the manual on its README.md has detailed instructions.

Install dependencies

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brew install automake autoconf autoconf-archive libtool
brew install pkgconfig
brew install icu4c
brew install leptonica
brew install gcc

Compile

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git clone https://github.com/tesseract-ocr/tesseract/
cd tesseract
./autogen.sh
./configure CC=gcc CXX=g++ CPPFLAGS=-I/usr/local/opt/icu4c/include LDFLAGS=-L/usr/local/opt/icu4c/lib
make -j
make install

Download their best trained models, download the language chi_sim.traineddata and put it under tesseract/4.0.0.1/tessdata/

Usage

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tesseract image.png image -l chi_sim
cat image.txt

Okay, it’s still terrible under the song font. I need to train with the new model myself.

Finally, I ignored tesseract, and I found that dragging the image into OneNote, and then Ctrl + click -> Copy Text from Picture will give higher accuracy. 😓

Translated by gpt-3.5-turbo

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