AI Translation

translator-ai

Fast and efficient JSON i18n translator supporting multiple AI providers (Google Gemini, OpenAI & Ollama/DeepSeek) with intelligent caching, multi-file deduplication, and MCP integration.

Features

• Multiple AI Providers: Choose between Google Gemini, OpenAI (cloud) or Ollama/DeepSeek (local) for translations
• Multi-File Support: Process multiple files with automatic deduplication to save API calls
• Incremental Caching: Only translates new or modified strings, dramatically reducing API calls
• Batch Processing: Intelligently batches translations for optimal performance
• Path Preservation: Maintains exact JSON structure including nested objects and arrays
• Cross-Platform: Works on Windows, macOS, and Linux with automatic cache directory detection
• Developer Friendly: Built-in performance statistics and progress indicators
• Cost Effective: Minimizes API usage through smart caching and deduplication
• Language Detection: Automatically detect source language instead of assuming English
• Multiple Target Languages: Translate to multiple languages in a single command
• Translation Metadata: Optionally include translation details in output files for tracking
• Dry Run Mode: Preview what would be translated without making API calls
• Format Preservation: Maintains URLs, emails, dates, numbers, and template variables unchanged

Installation

Global Installation (Recommended)

npm install -g translator-ai

Local Installation

npm install translator-ai

Configuration

Option 1: Google Gemini API (Cloud)

Create a .env file in your project root or set the environment variable:

GEMINI_API_KEY=your_gemini_api_key_here

Get your API key from Google AI Studio.

Option 2: OpenAI API (Cloud)

Create a .env file in your project root or set the environment variable:

OPENAI_API_KEY=your_openai_api_key_here

Get your API key from OpenAI Platform.

Option 3: Ollama with DeepSeek-R1 (Local)

For completely local translation without API costs:

1. Install Ollama
2. Pull the DeepSeek-R1 model:

   ollama pull deepseek-r1:latest
   

3. Use the --provider ollama flag:

   translator-ai source.json -l es -o spanish.json --provider ollama
   

Usage

Basic Usage

# Translate a single file
translator-ai source.json -l es -o spanish.json

# Translate multiple files with deduplication
translator-ai src/locales/en/*.json -l es -o "{dir}/{name}.{lang}.json"

# Use glob patterns
translator-ai "src/**/*.en.json" -l fr -o "{dir}/{name}.fr.json"

Command Line Options

translator-ai <inputFiles...> [options]

Arguments:
  inputFiles                   Path(s) to source JSON file(s) or glob patterns

Options:
  -l, --lang <langCodes>      Target language code(s), comma-separated for multiple
  -o, --output <pattern>      Output file path or pattern
  --stdout                    Output to stdout instead of file
  --stats                     Show detailed performance statistics
  --no-cache                  Disable incremental translation cache
  --cache-file <path>         Custom cache file path
  --provider <type>           Translation provider: gemini, openai, or ollama (default: gemini)
  --ollama-url <url>          Ollama API URL (default: http://localhost:11434)
  --ollama-model <model>      Ollama model name (default: deepseek-r1:latest)
  --gemini-model <model>      Gemini model name (default: gemini-2.0-flash-lite)
  --openai-model <model>      OpenAI model name (default: gpt-4o-mini)
  --list-providers            List available translation providers
  --verbose                   Enable verbose output for debugging
  --detect-source             Auto-detect source language instead of assuming English
  --dry-run                   Preview what would be translated without making API calls
  --preserve-formats          Preserve URLs, emails, numbers, dates, and other formats
  --metadata                  Add translation metadata to output files (may break some i18n parsers)
  --sort-keys                 Sort output JSON keys alphabetically
  --check-keys                Verify all source keys exist in output (exit with error if keys are missing)
  -h, --help                  Display help
  -V, --version               Display version

Output Pattern Variables (for multiple files):
  {dir}   - Original directory path
  {name}  - Original filename without extension
  {lang}  - Target language code

Examples

Translate a single file

translator-ai en.json -l es -o es.json

Translate multiple files with pattern

# All JSON files in a directory
translator-ai locales/en/*.json -l es -o "locales/es/{name}.json"

# Recursive glob pattern
translator-ai "src/**/en.json" -l fr -o "{dir}/fr.json"

# Multiple specific files
translator-ai file1.json file2.json file3.json -l de -o "{name}.de.json"

Translate with deduplication savings

# Shows statistics including how many API calls were saved
translator-ai src/i18n/*.json -l ja -o "{dir}/{name}.{lang}.json" --stats

Output to stdout (useful for piping)

translator-ai en.json -l de --stdout > de.json

Parse output with jq

translator-ai en.json -l de --stdout | jq

Disable caching for fresh translation

translator-ai en.json -l ja -o ja.json --no-cache

Use custom cache location

translator-ai en.json -l ko -o ko.json --cache-file /path/to/cache.json

Use Ollama for local translation

# Basic usage with Ollama
translator-ai en.json -l es -o es.json --provider ollama

# Use a different Ollama model
translator-ai en.json -l fr -o fr.json --provider ollama --ollama-model llama2:latest

# Connect to remote Ollama instance
translator-ai en.json -l de -o de.json --provider ollama --ollama-url http://192.168.1.100:11434

# Check available providers
translator-ai --list-providers

Advanced Features

# Detect source language automatically
translator-ai content.json -l es -o spanish.json --detect-source

# Translate to multiple languages at once
translator-ai en.json -l es,fr,de,ja -o translations/{lang}.json

# Dry run - see what would be translated without making API calls
translator-ai en.json -l es -o es.json --dry-run

# Preserve formats (URLs, emails, dates, numbers, template variables)
translator-ai app.json -l fr -o app-fr.json --preserve-formats

# Include translation metadata (disabled by default to ensure compatibility)
translator-ai en.json -l fr -o fr.json --metadata

# Sort keys alphabetically for consistent output
translator-ai en.json -l fr -o fr.json --sort-keys

# Verify all keys are present in the translation
translator-ai en.json -l fr -o fr.json --check-keys

# Use a different Gemini model
translator-ai en.json -l es -o es.json --gemini-model gemini-2.5-flash

# Combine features
translator-ai src/**/*.json -l es,fr,de -o "{dir}/{name}.{lang}.json" \
  --detect-source --preserve-formats --stats --check-keys

Available Gemini Models

The --gemini-model option allows you to choose from various Gemini models. Popular options include:

• gemini-2.0-flash-lite (default) - Fast and efficient for most translations
• gemini-2.5-flash - Enhanced performance with newer capabilities
• gemini-pro - More sophisticated understanding for complex translations
• gemini-1.5-pro - Previous generation pro model
• gemini-1.5-flash - Previous generation fast model

Example usage:

# Use the latest flash model
translator-ai en.json -l es -o es.json --gemini-model gemini-2.5-flash

# Use the default lightweight model
translator-ai en.json -l fr -o fr.json --gemini-model gemini-2.0-flash-lite

Available OpenAI Models

The --openai-model option allows you to choose from various OpenAI models. Popular options include:

• gpt-4o-mini (default) - Cost-effective and fast for most translations
• gpt-4o - Most capable model with advanced understanding
• gpt-4-turbo - Previous generation flagship model
• gpt-3.5-turbo - Fast and efficient for simpler translations

Example usage:

# Use OpenAI with the default model
translator-ai en.json -l es -o es.json --provider openai

# Use GPT-4o for complex translations
translator-ai en.json -l ja -o ja.json --provider openai --openai-model gpt-4o

# Use GPT-3.5-turbo for faster, simpler translations
translator-ai en.json -l fr -o fr.json --provider openai --openai-model gpt-3.5-turbo

Translation Metadata

When enabled with the --metadata flag, translator-ai adds metadata to help track translations:

{
  "_translator_metadata": {
    "tool": "translator-ai v1.1.0",
    "repository": "https://github.com/DatanoiseTV/translator-ai",
    "provider": "Google Gemini",
    "source_language": "English",
    "target_language": "fr",
    "timestamp": "2025-06-20T12:34:56.789Z",
    "total_strings": 42,
    "source_file": "en.json"
  },
  "greeting": "Bonjour",
  "farewell": "Au revoir"
}

Metadata is disabled by default to ensure compatibility with i18n parsers. Use --metadata to enable it.

Key Sorting

Use the --sort-keys flag to sort all JSON keys alphabetically in the output:

translator-ai en.json -l es -o es.json --sort-keys

This ensures consistent ordering across translations and makes diffs cleaner. Keys are sorted:

• Case-insensitiv

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README truncated. View full README on GitHub.