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Never Lose a Translation Again

Lingo.dev's built-in translation caching system protects your work from network interruptions and saves time by preserving completed translations.

Benefits at a Glance

  • Resume Interrupted Jobs: Continue exactly where you left off after connection issues
  • Save Time & Money: Never pay to translate the same content twice
  • Improve Reliability: Complete large projects even with unstable connections
  • Zero Configuration: Works automatically with no setup required

How Translation Caching Works

The system operates seamlessly in the background:

  1. Real-time Storage: Each translated segment is cached immediately upon completion
  2. Persistent Memory: Cached translations remain available between sessions
  3. Smart Recovery: When restarting after an interruption, only untranslated content is processed
  4. Automatic Invalidation: Cache updates when source content changes

Real-World Example

bash
# Start translating your project
npx lingo.dev@latest i18n

# Connection drops at 80% completion
# ❌ Without caching: All progress lost
# ✅ With caching: Progress preserved

# Simply restart the command
npx lingo.dev@latest i18n

# System automatically:
# 1. Loads cached translations (80%)
# 2. Completes only the remaining 20%

Best Practices

  1. After Interruptions: Just re-run the same command - no special flags needed
  2. For Large Projects: Let the system handle progress tracking automatically
  3. When Changing Content: The cache intelligently updates only what's needed

Technical Implementation

The caching system is:

  • Zero-config: Works out of the box with no settings to adjust
  • Secure: Cached translations are stored safely
  • Consistent: Always in sync with your source content
  • Intelligent: Automatically refreshes when source content changes

Ideal For

  • Global Teams: Working across regions with varying connection quality
  • Large Projects: Translating substantial content volumes
  • Deadline-Driven Work: When time efficiency is critical
  • Budget-Conscious Teams: Maximizing translation cost efficiency