Translation Pipeline
Multilingual content at any scale
Translate content across 50+ languages while preserving brand voice, technical terminology, and cultural nuance — far beyond what generic machine translation delivers. Handles product strings, marketing copy, legal text, and documentation.
Gemini 1.5 Flash
for 4,000K tokens/month · 70% input / 30% output
WHY THIS MODEL
Gemini 1.5 Flash is the benchmark for high-throughput automation: sub-second latency and low cost per token make it the only economically viable choice for pipelines processing tens of millions of tokens daily. Its extraction accuracy is sufficient for most classification and moderation tasks.
ALTERNATIVE MODELS
IMPLEMENTATION TIPS
- 1
Maintain a brand glossary per language — a JSON map of your product names, trademarked terms, and do-not-translate strings — and inject it into every translation call to enforce consistent terminology across your entire content library.
- 2
Use Gemini's long context to send an entire content section together rather than sentence-by-sentence: paragraph-level translation preserves flow and discourse coherence that isolated sentence translation destroys.
- 3
Implement a back-translation QA check on 5% of outputs: translate the translation back to the source language and flag cases where the round-trip diverges significantly — this catches catastrophic mistranslations without human fluency in the target language.