Amazon Translate
Neural machine translation service for language translation
Translate is like having a professional translator who can translate text between 75+ languages instantly. You give it text in one language, specify the target language, and it returns the translation. It uses neural networks trained on billions of words, so translations are natural and contextually accurate. Perfect for applications like multilingual websites, customer support, or document translation. Think of it as breaking down language barriers; your application can communicate with users in their native language.
Translate uses neural machine translation (NMT) to translate text between languages. You provide source text, source language (or use auto-detection), and target language. Translate returns translated text.
Key Capabilities
Key features: custom terminology (ensure specific terms are translated consistently), formality control (formal vs. informal), and batch translation (translate documents in S3).
Gotchas & Constraints
Gotcha #1: Translation quality varies by language pair; common pairs (English-Spanish) have higher quality than rare pairs. Gotcha #2: Translate charges per character, and costs can add up for large text volumes. Constraints: Maximum 10,000 bytes per request (real-time), maximum 20MB per document (batch), and custom terminology limited to 10,000 terms.
An e-commerce platform operates in 20 countries but content is only in English. Translating product descriptions, reviews, and support articles manually would cost $1 million/year. They use Translate: when a user visits the site, they detect the user's language (browser settings) and translate all content in real-time. Product descriptions are cached after first translation (reduce costs). For user-generated content (reviews), they translate on-demand. They use custom terminology to ensure brand names and product names are not translated. For customer support, they translate support tickets: customer writes in Spanish, agent sees English; agent responds in English, customer sees Spanish. They process 100 million characters/month, costing $15,000/month (vs. $1 million for human translation).
The Result
20-country expansion, 30% increase in international sales, and 98% cost savings.