https://github.com/BigIskander/Handwriting-keyboard-for-Linux-tesseract

Handwriting keyboard for Linux using tesseract-ocr.
https://github.com/BigIskander/Handwriting-keyboard-for-Linux-tesseract

Last synced: 3 months ago
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Handwriting keyboard for Linux using tesseract-ocr.

• Host: GitHub
• URL: https://github.com/BigIskander/Handwriting-keyboard-for-Linux-tesseract
• Owner: BigIskander
• License: mit
• Created: 2024-01-26T14:29:01.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-02-01T01:51:06.000Z (9 months ago)
• Last Synced: 2024-02-12T12:28:22.330Z (9 months ago)
• Language: JavaScript
• Homepage:
• Size: 290 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-tauri - Handwriting keyboard - Handwriting keyboard for Linux X11 desktop environment. (Applications / Office & Writing)

README

        
# Handwriting-keyboard-for-Linux.

This is programm written for Linux X11 desktop environment.

To recognize handwritten pattern program uses tesseract-ocr.

You can find compiled .deb package in releases page.

# How to use

1) Install dependencies:

sudo apt install xdotool

sudo apt install tesseract-ocr

2) Install programm (you can find compiled .deb package in releases page)

3) Download training data for tesseract-ocr and copy training data files to data folder of tesseract-ocr (for example for tesseract-ocr 4.0 it would be this folder /usr/share/tesseract-ocr/4.00/tessdata/).

Or alternatively you can put these files in watever folder you like and run program with --tessdata-dir cli parameter and point to the folder where training data files are located.

By default program uses language chi_all, which you can download from this source [https://github.com/gumblex/tessdata_chi](https://github.com/gumblex/tessdata_chi), or you can select desired language by running program with cli parameter --lang and set language.

4) Launch the program with or without cli parameters handwriting-keyboard-t and just use it.

# CLI (command line interface) parameters

--lang or -l - language used to recognize handwritten pattern.

--tessdata-dir - custom folder where is located the training data (for tesseract-ocr) used to recognize handwriting pattern.

--automode or -a - programm will send request to tesseract-ocr automatically after every stroke.

Example:

handwriting-keyboard-t --tessdata-dir=/home/user/ --lang=chi_sim -a

In this case (above), to recognize hand written pattern programm will use training data from folder "/home/user/" and language "chi_sim" (Chinese simplified), particularly the file "/home/user/chi_sim.traineddata". Also in this case the programm will automatically send request to tesseract-ocr after every stroke, because it was launched with "-a" parameter.

# Some technical details

Programm written by using tauri framework https://tauri.app/

The script from https://github.com/ChenYuHo/handwriting.js is used to make a writing canvas.

To recognize handwritten pattern program uses [tesseract-ocr](https://github.com/tesseract-ocr/tesseract).

In order to run from code or compile the programm: You need to install [Node.js 18](https://nodejs.org/en) or newer version and [Rust](https://www.rust-lang.org/) as well.

Install Node.js dependencies: npm install

Run program in development environment: npm run tauri dev

Run program in development environment with cli (command line) parameters: npm run tauri dev -- -- -- cli_parameters

Compile the programm: npm run tauri build

Older version of this program using Google API instead of tesseract-ocr is available by this link: [https://github.com/BigIskander/Handwriting-keyboard-for-Linux.](https://github.com/BigIskander/Handwriting-keyboard-for-Linux.)

## Recommended IDE Setup

- [VS Code](https://code.visualstudio.com/) + [Tauri](https://marketplace.visualstudio.com/items?itemName=tauri-apps.tauri-vscode) + [rust-analyzer](https://marketplace.visualstudio.com/items?itemName=rust-lang.rust-analyzer)