Multilingual Metadata Translation

Automatically translate titles, descriptions, and tags into multiple languages as part of your content pipeline.

Why Automate Metadata Translation?

Expanding to new regions means every piece of content needs localized metadata — titles, descriptions, tags, genre labels, and parental guidance text. Doing this manually is slow, expensive, and error-prone. A single title launching in 10 languages means 10 sets of metadata that need to be created, reviewed, and kept in sync with every update.

Enveu Flow automates the entire translation pipeline. When new content is ingested or existing metadata is updated, Flow detects the source language, translates into your configured target languages, runs quality checks, and pushes everything to your CMS — without anyone copying and pasting between spreadsheets and translation tools.

What This Workflow Does

This use case covers end-to-end metadata translation from source to publish:

  • Triggers when new content is ingested or when source metadata is updated in your CMS
  • Detects the source language automatically using language detection APIs
  • Translates title, short description, long description, tags, and genre labels into all configured target languages
  • Supports multiple translation providers: Google Translate, DeepL, AWS Translate, or custom models
  • Applies post-translation rules: character limits per field, forbidden words, brand term preservation
  • Routes translations through an optional human review queue for premium content
  • Preserves terms that should never be translated: brand names, proper nouns, technical terms (configurable glossary)
  • Syncs translated metadata back to your CMS with language-locale mapping (en-US, hi-IN, ar-SA, etc.)
  • Logs every translation with source, provider, confidence score, and reviewer (if applicable)

Translation Quality Controls

Raw machine translation is not enough for viewer-facing content. Flow includes built-in quality gates:

  • Glossary enforcement: Define terms that must be preserved or translated in a specific way
  • Length validation: Ensure translated descriptions stay within character limits for each platform (mobile, TV, web)
  • Back-translation check: Optionally translate back to source language and flag high-divergence results
  • Profanity filter: Scan translations against language-specific profanity lists
  • Consistency check: Flag when the same source term is translated differently across titles in the same catalog

Supported Languages

Flow supports any language pair your translation provider supports. Common configurations for media platforms include: English, Hindi, Tamil, Telugu, Arabic, Spanish, Portuguese, French, German, Indonesian, Malay, Thai, and Japanese.

Who Uses This

Content operations teams, localization managers, and platform teams managing multi-region OTT launches. Particularly valuable for platforms expanding from a single-language catalog to multi-language distribution.

Results

Teams using this pattern reduce localization turnaround from days to under an hour per title. Manual translation coordination effort drops by 90%. Metadata completeness across languages consistently exceeds 98%.

Workflow Steps

  1. Trigger: New content ingested or source metadata updated in CMS
  2. Detect: Identify source language using language detection API
  3. Configure: Load target languages and glossary rules from workflow config
  4. Translate: Send fields (title, descriptions, tags) to translation provider for each target language
  5. Enforce glossary: Replace machine-translated brand names and protected terms with glossary values
  6. Validate: Check character limits, run profanity filter, flag low-confidence translations
  7. Route for review: Premium content goes to human reviewer queue. Standard content auto-approved
  8. Publish: Push all translated metadata to CMS with correct language-locale codes
  9. Notify: Send summary — X languages completed, Y flagged for review, Z failed