# News Archive Translation and Back Catalogue | Vitra.ai

> An archive is a large amount of content nobody is producing any more. What makes some of it worth translating, and why most of it is not worth the spend.

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3 min read

# News Archive Translation and Back Catalogue

An archive is a large amount of content nobody is producing any more. What makes some of it worth translating, and why most of it is not worth the spend.

[Samhitha J Bhatt](https://www.vitra.ai/author/samhitha)
Senior Product Manager , Vitra.ai
Updated Aug 17, 2026

![News Archive Translation and Back Catalogue](https://www.vitra.ai/static/images/blog/news-archive-translation.jpg)

Table of contents

[Most of an archive is dead weight](#most-of-an-archive-is-dead-weight)

[What earns translation](#what-earns-translation)

[Dating is the trap](#dating-is-the-trap)

[Doing it at archive scale](#doing-it-at-archive-scale)

[FAQ](#faq)

Contributors

[Samhitha J Bhatt](https://www.vitra.ai/author/samhitha)
Senior Product Manager

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> **Quick answer —** Translating a news archive only pays where the content still attracts search traffic. Evergreen explainers and reference pieces are worth it; dated news reports usually are not, and both sit in the same archive.[Vitra.ai Universe](https://www.vitra.ai/features/document-translation) turns one story into every edition.

## Most of an archive is dead weight

A publisher with twenty years of output has a very large number of pages and a very small number that anyone still reads.

Translating all of it is an expensive way to produce pages nobody requested. The question is which fraction earns it.

## What earns translation

Content

Worth translating

Evergreen explainers

Yes — they still rank

Reference and how-it-works pieces

Yes

Obituaries and profiles of lasting figures

Often

Investigations with continuing relevance

Often

Dated news reports

Rarely

Live blogs and match reports

No

Listings and event coverage

No

The signal is already in your analytics. Pages still receiving organic traffic years after publication are the evergreen set, and that list is usually far shorter and far more surprising than editors expect.

Start there rather than at the top of the archive by date.

## Dating is the trap

An archive piece translated without context arrives in the new market looking current.

A 2019 explainer about a rule that changed in 2023 is not a useful page in any language, and translating it publishes something stale under a fresh URL — which is worse than leaving it untranslated, because now it looks maintained.

So the pass has to include an editorial check on whether the content is still true, not only whether it is still read.

## Doing it at archive scale

[Document translation](https://www.vitra.ai/features/document-translation) handles the volume, and [memory](https://www.vitra.ai/features/translation-memory) makes it progressively cheaper — an archive is highly repetitive, so reuse rates on a back catalogue are typically much higher than on new copy. That is the economic argument. The tenth thousand articles cost meaningfully less than the first thousand. Run [quality control](https://www.vitra.ai/features/quality-control) across the batch rather than sampling, flag anything with a date-sensitive claim for an editor, and add a clear original publication date on every translated piece so readers can see what they are reading.

## FAQ

**Is it worth translating a news archive?** Only the part still attracting traffic. Evergreen explainers and reference pieces earn it; dated reports, live blogs and listings rarely do, and analytics already identify which is which.

**How do you decide which archive content to translate?** By organic traffic years after publication. Pages still being found are the evergreen set, and that list is usually shorter and less predictable than editors expect.

**What is the risk of translating old articles?** They arrive looking current. An explainer about a rule that has since changed is stale in any language, and publishing it under a fresh URL makes it look maintained when it is not.

**Why does archive translation get cheaper at scale?** Because archives are repetitive. Translation memory reuse rates on a back catalogue run far higher than on new copy, so later batches cost meaningfully less than the first.

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