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Machine translation

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Machine translation fills first drafts so translators do not start from a blank cell. Enable the providers that fit your workload under Settings → Machine Translation and name one the primary provider. Every MT result lands as Needs Review.

Provider Type Glossary behaviour
Google Translate Traditional MT Hints shown to the editor, not applied by the provider
DeepL Traditional MT Hints only
Amazon Translate Traditional MT Hints only
Azure Translator Traditional MT Hints only
OpenAI AI Injected into the prompt
Anthropic Claude AI Injected into the prompt
AI provider Models
OpenAI GPT-5.4 mini, GPT-5.4, GPT-5.5
Anthropic Claude Claude Haiku 4.5, Claude Sonnet 4.6

Traditional providers do not read instructions. AI providers follow AI context at the project, language and key level and receive glossary terms through the prompt. A common split is traditional MT for bulk fills on a new language and AI for marketing pages, onboarding flows and emails.

  1. Open Settings → Machine Translation.

  2. Tick the providers you want from the Traditional MT and AI-Powered groups. Provider API keys are configured server-side by Comvi.

  3. Pick a model for each enabled AI provider.

  4. Set a primary provider. It is used for automatic suggestions and single-click translations.

  5. Decide on Auto-apply translations. On: suggestions are written as Needs Review automatically. Off: the suggestion is cached and appears when a translator opens the key.

When a key is created or its source text changes, and at least one provider is enabled, Comvi does two things per target language: it looks for a 100% translation memory match and writes it if found; otherwise it queues a machine translation job with the primary provider. With auto-apply on, the result is written as Needs Review; with it off, the result is cached for the editor.

Open a key in the editor. The Machine Translation panel lists one suggestion per enabled provider, labelled with its source. Click Apply, edit if needed, and mark the value Translated. The refresh action discards the cached suggestions and re-fetches them.

  1. On the Translations page, filter by status Not Translated, and by language or namespace, to scope the batch.

  2. Tick the rows and click Translate in the selection bar.

  3. In the Apply Machine Translation dialog, tick the target locales. Tick Overwrite existing translations to replace values that are already there; otherwise those keys are skipped silently. The dialog shows an estimated credit cost.

  4. Click Apply Translation. Comvi queues one background job per target language and reports progress. Results land as Needs Review.

Bulk translation always uses the project’s configured providers; there is no per-batch override. To use a different provider, change the primary under Settings → Machine Translation first. Bulk runs call the provider for every selected key; the 100% translation-memory shortcut applies only to key creation and source edits.

Keys with no source value report “No source value to translate from” in the job summary. Language pairs the provider does not support are named there too.

For AI providers, matching glossary terms are injected into the prompt with their correct translations, and terms marked not translatable are listed as must-keep-verbatim. Reliable, not guaranteed, so review critical terminology. For traditional providers, terms are not sent to the provider; they appear as hints to the reviewer in the editor. For enforced terminology in bulk MT, use an AI provider or run a find-and-replace pass before review. See Glossaries.

Plan MT credits per month
Free 20,000
Early adopter 200,000
Credits add-on +100,000 each

Traditional providers are charged per character, deducted before the request. AI providers are charged per input and output token, deducted after the response from the real counts. The rates per provider are on the credits page; run a small test batch on a new provider before a large one.

When the allowance runs out, MT requests fail with 403 LIMIT_EXCEEDED (“MT credits limit exceeded” or “MT credits exhausted”), the bulk dialog shows a toast telling you to upgrade or buy credits, and everything else keeps working. Credits reset at the start of each period.

Machine output enters the lifecycle as Needs Review, and history records its origin as Machine rather than Human. A translator or reviewer edits or approves each value, and the next deploy picks up whatever passes the status filter. To keep raw MT out of production, tick Translated only under Settings → Content Deploy.

Custom AI instructions are a REST API field with no control in the dashboard. If quality is poor on one language, enable a second provider and compare suggestions side by side in the editor.