Insights can be produced in a language other than the one in the asset. You choose the translation as part of generating them, rather than processing first and translating afterwards.

For organizations working across regions, this is what makes one archive usable by every team rather than only by whoever speaks the language of the source material.

Because translation happens as part of generation, it is worth agreeing with your team which languages you need before a large pass. Working it out afterwards means processing the same content twice, and paying for it twice.

The question to ask is not what language the content is in, but what languages the people searching for it will use.

Insights produced in a language become searchable in that language. Someone searching in their own language finds material that originated in another one, which is the whole point.

Machine translation is good and getting better, but it is not a substitute for review when the output carries your name. Proper nouns, technical vocabulary and anything with a legal or contractual meaning deserve a human read before it goes out.

For internal search and discovery, that bar is much lower. The distinction worth holding is between translation that helps people find things and translation that gets published.

Generating insights on your assets covers the underlying process. Transcription and captions covers speech to text.