Reference Glossary
Translation management
The workflow, often via an integrated TMS, for routing asset text to translation vendors, tracking per-language status, and returning finished copy to the DAM record.
Why it matters in a DAM
Translation management matters to a DAM specifically at the handoff points — sending the correct current source text out to a translation vendor, and getting the translated copy back attached to the right asset and locale, without a round trip through email attachments where version control gets lost. Many DAMs integrate with a dedicated translation management system (TMS) via API rather than handling translation natively, because tracking translator assignments and per-language QA is a different discipline from asset storage and search.
A worked example
Common mistake
Sending source text out for translation as a copy-pasted document instead of pulling it directly from the current DAM asset record, so the translated version ends up based on a draft that was already superseded by the time translation finished.
Translation management sits at the boundary between a DAM and a specialist system built for a different job. A DAM is good at storing, versioning, and finding assets; a translation management system is good at routing text to translators, applying translation memory so repeated phrases aren’t retranslated from scratch, and tracking per-language review status. Most organizations running localisation at any real volume connect the two rather than trying to do translation work natively inside the DAM.
The integration’s job is narrow but important: get the exact current source text out of the DAM asset and into the TMS, and get the finished translation back attached to the right asset as a locale variant, with both ends able to trace which source version a given translation was based on. Without that traceable link, a translator can end up working from a copy-pasted snippet that was accurate when someone pulled it but has since been revised in the DAM, and the finished translation comes back already out of date.
Per-language status tracking is the other piece that matters operationally, because a single asset going into ten-language localisation doesn’t finish all at once — some languages clear review faster than others, and a marketing team publishing on a fixed date needs to know which locale variants are actually approved and which are still in translation, rather than treating the whole batch as one status.
Frequently asked
What's the typical translation management workflow in a DAM context?
Source text is exported from a DAM asset, sent to a translation management system or vendor, and the translated copy is re-imported and attached back to the original asset as a locale variant.
Why do most organizations integrate a dedicated TMS rather than handling translation natively in the DAM?
A DAM is built for storing, versioning, and finding assets; a TMS is built for routing text to translators, applying translation memory, and tracking per-language review — different disciplines that most organizations connect via API rather than merge.
Why is it a mistake to send source text out for translation as a copy-pasted document?
The translated version can end up based on a draft that was already superseded by the time translation finished, if the text wasn't pulled directly from the current DAM asset record.
What status is typically tracked per language in translation management?
Not started, in translation, in review, or approved — tracked separately per language, since a single asset going into ten-language localisation doesn't finish all languages at once.
Why does traceability between source version and translation matter?
Without a traceable link, a translator can work from a snippet that was accurate when pulled but has since been revised in the DAM, and the finished translation comes back already out of date.
Why does per-language status tracking matter operationally for a marketing team?
A team publishing on a fixed date needs to know which locale variants are actually approved and which are still in translation, rather than treating a whole multi-language batch as a single status.