How LocaleCloud Works

LocaleCloud combines the power of AI translation with an efficient edge caching system to deliver fast, high-quality translations for your applications.

Architecture Overview

The Translation Process

When you call the t() function in your code, the following process takes place:

1. Cache Check: LocaleCloud first checks if the translation for the given term already exists in the edge cache.
2. Cache Hit: If the translation is found in the cache, it is immediately returned to your application, resulting in near-instant performance.
3. Cache Miss: If the translation is not in the cache (typically during development or when adding new content), the request is forwarded to the AI translation model.
4. AI Translation: The AI model translates the term, taking into account any contextual information provided.
5. Cache Update: The new translation is stored in the edge cache for future requests.
6. Response: The translated term is returned to your application.

Edge Caching Strategy

LocaleCloud’s edge caching system is designed to optimize performance in production environments:

• Development Mode: During development, you’ll naturally add new content to your application, which triggers AI translations and populates the cache.
• Production Mode: By the time your app is in production, most or all translations are already cached, resulting in minimal latency for your users.
• Global Distribution: The edge cache is distributed globally, ensuring low-latency access for users around the world.
• Automatic Invalidation: When you update a translation or its context in the dashboard, the cache is automatically invalidated and updated with the new translation.

Example: Cache Flow

Here’s a practical example of how the caching works in a real application:

// First encounter of this term (likely in development)
const greeting = t("Hello, world!");
// AI model translates term, caches result
// Returns: "Hola, mundo!" (for Spanish)

// Later usage (development or production)
const greeting = t("Hello, world!");
// Cache hit! Returns "Hola, mundo!" instantly
// No API call or AI processing needed

// The same term in another component
function Footer() {
  return <p>{t("Hello, world!")}</p>;
  // Same cache is used, no duplicate translations needed
}

// All translations are available in the edge cache
// for production, ensuring fast user experience

AI Translation Model

LocaleCloud uses advanced large language models (LLMs) specialized for translation:

• Context-Aware: The AI understands the context of your content, resulting in more accurate translations compared to traditional word-for-word methods.
• Nuanced Understanding: The model handles idioms, cultural references, and industry-specific terminology appropriately.
• Continuous Improvement: The AI model is regularly updated to improve translation quality based on the latest research.
• Human-in-the-Loop: You can review and refine translations in the dashboard, providing feedback that improves future AI-generated translations.