CLI tool to translate text with LLM
Project description
trn
A CLI tool for translating text using LLMs.
Features
- Multiple input sources: command line arguments, stdin, clipboard, URLs, or files
- OpenAI, Anthropic, and Gemini models
- Configurable via command line arguments or environment variables
Installation
With uv installed, you may skip the installation: uvx trn
will always run the latest version of command. You can also install it the usual way:
uv tool install trn
# or
pip install trn
Usage
First, set the key for your LLM provider. Example for Google Gemini:
uvx --with llm-gemini llm keys set gemini
Second, specify your target language via the TRN_TO_LANGUAGE environment variable or -t argument.
The -t argument takes priority when both are set.
Third, provide text to translate in one of these ways:
- command line arguments
- standard input
- clipboard
The tool checks for arguments first, then standard input, then the clipboard.
You can also translate web pages or local PDF/image files by providing a URL or file path.
Basic Usage
# Translate from clipboard to default language
trn
# Translate command line text into French
trn -t french Hello world
# Translate from stdin
echo "Hello world" | trn
# Translate a file
trn document.pdf
# Translate from URL
trn https://example.com/article
# Use custom LLM
trn -m gpt-4o-mini
Configuration
Set environment variables for convenience:
export TRN_TO_LANGUAGE=spanish
# optionally:
export TRN_MODEL=gpt-4o-mini
Options
> trn --help
usage: trn [-h] -t TO_LANGUAGE [-m MODEL] [-p PROMPT] [-a PROMPT_ADD] [-v] [-d] [text ...]
positional arguments:
text Text to translate, or URL, or path to file (default: None)
options:
-h, --help show this help message and exit
-t, --to-language TO_LANGUAGE
Target language for translation [env var: TRN_TO_LANGUAGE] (default: None)
-m, --model MODEL LLM to use (run 'uvx llm models' for available models) [env var: TRN_MODEL] (default: gemini-2.5-flash)
-p, --prompt PROMPT Custom prompt for translation [env var: TRN_PROMPT] (default: Translate the text (it can be in any language) into
{to_language}. Don't explaint that the output is a translation. Tell me in case if you don't know about '{to_language}'
language. If there is a file attached, translate the contents of the file. {prompt_add})
-a, --prompt-add PROMPT_ADD
Custom prompt for translation [env var: TRN_PROMPT_ADD] (default: )
-v, --verbose Enable verbose output [env var: TRN_VERBOSE] (default: False)
-d, --debug Enable debug output [env var: TRN_DEBUG] (default: False)
In general, command-line values override environment variables which override defaults.
Requirements
- Python 3.12+
- LLM API key configured
- UV installed (optional, but highly recommended)
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