How to Localize Product Copy with Welocalize AI

Welocalize is a language services company that runs AI-assisted translation at scale: machine translation for volume, human linguists for review, and terminology management across languages. It is enterprise software plus services, not a self-serve tool — you engage through a sales process and get a program, not a login and a paste box.

That framing matters. If you want to translate a blog post in ten minutes, this is the wrong product. If you need 40 locales updated every release with consistent terminology, it is the right shape.

What does Welocalize actually do?

Four services matter for software companies:

• Machine translation post-editing (MTPE) — MT output reviewed and corrected by a linguist. The standard production path.
• Terminology and style guide management — the glossary that keeps “workspace” translated the same way in 14 languages.
• Continuous localization — API and repository integrations so strings translate as they change.
• Multimodal work — subtitling, dubbing, and audio localization for marketing video.

The differentiator versus DIY MT is the terminology layer and the review step, not the translation engine itself, which is often a commercial model anyone can license.

How does a localization program get started?

Expect four to eight weeks before the first production delivery. The sequence below is what makes that timeline real.

1. Inventory your content. Count words by content type — UI strings, help center, marketing, legal. Legal text is a separate, slower track.
2. Pick two launch languages, not eight. Usually your biggest non-English market and one where you have support coverage. A language you launch without support becomes a complaint channel.
3. Build the glossary first. 100-200 terms, with do-not-translate lists for product names. This single asset determines long-term quality more than any engine choice.
4. Connect the content system. A CMS or repo integration beats file exchange. If you are on Contentful or a Git-based docs setup, the connector saves hours per week.
5. Set the quality threshold by content type. Marketing copy gets full human review. UI strings can run MT-only with spot checks. Help center sits between.
6. Review the first 200 strings yourself even if you do not speak the language — check that product names stayed untranslated and that formatting survived.

How good is MT with post-editing?

Good enough for UI and support content in major languages. German, French, Spanish, Japanese, and Korean all produce clean output with a competent post-editor.

Weaker in three situations:

• Marketing headlines and puns. Wordplay does not survive. These need transcreation, which is a copywriting service priced separately.
• Long compound nouns in German and Dutch. Odd but usually comprehensible. Native reviewers will rewrite them.
• Low-resource languages. Thai, Vietnamese, and most African languages still need near-full human translation for quality marketing content.

What does it cost?

Welocalize does not publish rates, and that is a genuine friction point. Typical enterprise language service pricing per word runs from about $0.06 for MT-only through $0.12-$0.20 for post-edited translation, with transcreation well above that. Minimum commitments usually apply.

For planning: 50,000 words a quarter across four languages lands in the tens of thousands per quarter. Compare that against a distributed freelancer bench before signing — for two languages and stable volume, freelancers plus a terminology sheet can be cheaper.

Where a vendor like this beats DIY

Volume and consistency. Once you are past roughly five locales and shipping monthly, the coordination cost of freelancers — chasing invoices, inconsistent glossaries, timezone lag — eats the rate difference.

Compliance is the other one. Regulated industries need documented review trails and named translators. A vendor provides that by contract; a freelancer does not.

Where DIY wins: one or two languages, low volume, and content that changes often enough that a formal review cycle slows you down.

What should you ask before signing

• Which engine do you use, and can we swap it mid-contract?
• Is the glossary ours to export, in a standard format?
• What is the turnaround for a 5,000-word urgent batch?
• Who are the named linguists for our languages, and can we request changes?

That last question is a quality signal. Vendors with a stable reviewer bench answer immediately; those running on a rotating freelance pool get vague.

Key Takeaways

• Welocalize is an enterprise language services provider built around MT plus human post-editing and terminology management.
• Expect four to eight weeks to a first production delivery; start with two languages, not eight.
• The glossary is the highest-leverage asset — build it before connecting content systems.
• Typical per-word pricing runs about $0.06 for MT-only to $0.12-$0.20 for post-edited work.
• Best fit is five-plus locales updated monthly; for one or two languages, freelancers are cheaper.

Localization tooling comparisons are on the Welocalize page at iAIFeed.