Skip to main content

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 - German
  • fra - French
  • spa - Spanish
  • jpn - Japanese
  • Install more: sudo pacman -S tesseract-data-[lang]

EasyOCR (--accurate mode):

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

Metadata

Release files for trex-linux 1.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for trex-linux 1.0.1
File Size Uploaded Provenance Actions
trex_linux-1.0.1.tar.gz 13.6 kB Without provenance Details for trex_linux-1.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for trex-linux 1.0.1
File Interpreter ABI Platform Actions
trex_linux-1.0.1-py3-none-any.whl Python 3 none any Details for trex_linux-1.0.1-py3-none-any.whl

Total release size: 27.6 kB

Release files / trex_linux-1.0.1.tar.gz

Download URL trex_linux-1.0.1.tar.gz
Size 13.6 kB
Tags Source
SHA-256 checksum
How to use checksums
cd7361e9eceaf2bd96107ed45fe09e8f7e70fd9f3e040e60c33ef00349bf5af9
BLAKE2b-256 checksum
How to use checksums
9feae3617150864b2fb59a7b1815b9450f90d4962f35ff3115768d2324790854
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.7.20

Release files / trex_linux-1.0.1-py3-none-any.whl

Download URL trex_linux-1.0.1-py3-none-any.whl
Size 14.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b6240c66d38b588c11eb417dd6cc0a558f0f13fd22e80e84f5d51a49cf9058f9
BLAKE2b-256 checksum
How to use checksums
28c454d05fa70aaa124c1fa4fb2e610581d34ab8edfa9f248097bc107af09e58
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.7.20

Security for trex-linux 1.0.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.0.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page