How Reversia Uses Claude to Translate Shopify Stores Across 110+ Languages

Reversia was founded to solve a persistent problem for international Shopify merchants: existing translation apps produced low-quality, literal output and capped the number of supported languages. The platform integrates natively with Shopify and handles every translatable element — product descriptions, metafields, metaobjects, SEO metadata, navigation, and internal links — across more than 110 languages and regional variants.

Before adopting Claude, Reversia ran a conventional machine translation engine that produced significant errors when processing HTML content and could not apply brand-specific glossary rules or tone instructions. Launching a new language on a merchant’s store required two to three weeks of manual coordination: verifying link integrity, confirming coverage of structured data fields, and reviewing output for obvious errors.

The team benchmarked multiple LLM providers on real merchant content across language pairs, evaluating translation quality, contextual understanding, tone consistency, and the ability to follow glossary constraints and HTML structure. Claude scored highest on all four criteria and became the primary translation model. The architecture runs Claude Sonnet 4.6 for primary translations and Claude Haiku 4.5 for a secondary quality-check pass before publication. A glossary system injects merchant-defined rules directly into prompt context — forcing specific term equivalences, excluding brand names from translation, and applying natural-language tone instructions — so Claude reasons about brand identity, not just vocabulary. The pipeline runs on Google Cloud Run with Cloud Tasks for job prioritization, and the system monitors each store in real time, triggering a new translation within 1–3 minutes of any content update.

Native-speaking translation professionals auditing batches of content across multiple language pairs consistently rated the output at 99% accuracy. New language launches that previously took weeks now complete in minutes. Reversia’s flat subscription model runs an estimated 70–80% below traditional per-word translation pricing, making international expansion economically viable for brands of all sizes.

Reversia’s roadmap extends Claude further: automatic quality scoring will have the model flag low-confidence translation segments before publication, and persistent brand memory will allow the system to accumulate merchant preferences over time, progressively improving brand alignment without additional glossary configuration.