Lightning-fast OCR tool for Wayland/Linux. Tesseract by default, with optional AI-powered mode.
Project description
TRex - Text Recognition for Arch Linux
Lightning-fast OCR tool optimized for Wayland/Hyprland on Arch Linux. Select screen area → Extract text → Copy to clipboard.
Features
- 🎯 Simple - One command to capture and extract text
- ⚡ Lightning Fast - Tesseract by default, results in under 0.5s
- 🖥️ Wayland Native - Built for modern Linux desktops
- 📋 Clipboard Integration - Automatically copies extracted text
- 🎨 Flexible - Fast mode by default, --accurate flag for complex text
Installation
# Install system dependencies (Arch Linux)
sudo pacman -S grim slurp wl-clipboard tesseract tesseract-data-eng
# Install TRex (lightweight by default)
pip install trex-linux
By default, TRex uses Tesseract for blazing-fast OCR. For better accuracy on complex images, install the accurate mode dependencies.
Usage
# Default: Select area → OCR → Copy to clipboard
trex
# OCR image from clipboard
trex -c
# OCR image file
trex -f screenshot.png
# Output to stdout instead of clipboard
trex -o stdout
# Use different language (e.g., German)
trex -l deu
# Use accurate mode for complex/handwritten text
trex --accurate
Performance
- Default mode: ~0.3-0.5s (Tesseract)
- Accurate mode: ~2-3s (EasyOCR, downloads AI models on first use)
Languages
Tesseract (default): Uses standard 3-letter codes
eng- English (default)deu- Germanfra- Frenchspa- Spanishjpn- Japanese- Install more:
sudo pacman -S tesseract-data-[lang]
EasyOCR (--accurate mode):
en,de,fr,es,ja,ko,ch_sim, etc.- Full list: https://github.com/JaidedAI/EasyOCR#supported-languages
Configuration
Optional config file at ~/.config/trex/config.json:
{
"language": "en",
"gpu": false
}
Set "gpu": true if you have NVIDIA GPU with CUDA support.
Requirements
- Arch Linux
- Wayland compositor (tested on Hyprland)
- Python 3.8+
- CUDA (optional, for GPU acceleration)
Accurate Mode Setup
For complex images, handwriting, or multiple languages:
# Install accurate mode dependencies
pip install trex-linux[accurate] --extra-index-url https://download.pytorch.org/whl/cpu
# Or with GPU support (NVIDIA CUDA)
pip install trex-linux[accurate,gpu]
Then use trex --accurate for better accuracy at the cost of speed.
License
MIT
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