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Machine translation vs cultural localisation
Machine translation (MT) converts language quickly. Cultural localisation decides whether the brand still works in that market. Marketing teams need both concepts, clearly separated.
What MT is good at
MT can be useful for drafts, internal understanding and some high-volume, lower-risk text. With glossaries and human post-editing, it can support product help and long-tail content.
Standalone MT does not inherently account for your voice, do-not-translate list or the cultural fit of an image.
For marketing, fluent language is only one part of quality; brand voice, creative context and audience fit also matter.
What cultural localisation adds
Cultural localisation wraps language work in brand systems: voice, TM, creative context, and market fit. The output is meant to ship, not merely to be understood.
- Application of brand-voice guidance across languages
- Creative-file and in-context workflows
- Cultural fit for text and visuals
- Human-in-the-loop gates for high-stakes launches
A simple decision test
Ask what happens if this asset is slightly off-brand. An MT draft may be enough for low-risk internal content. For high-visibility or brand-sensitive assets, consider cultural localisation and appropriate human review.
Also ask whether design handoff matters. If someone must rebuild the file from a bilingual spreadsheet, include that work when comparing workflows.
How to choose
If the risk of being slightly off-brand is low, MT drafts may be enough. Customer-facing creative may benefit from cultural localisation. Nativ combines AI-assisted translation with configured brand guidance, translation memory and creative workflows.
Go deeper on the category page: What is Cultural Localisation?
FAQ
Does Nativ use machine translation?
Nativ uses AI models as part of a broader cultural localisation stack that includes brand voice, TM, style guides and creative workflows.
Is cultural localisation just MT plus editing?
Editing helps, but cultural localisation also includes brand systems, creative-file workflows and market fit for visuals. Post-editing alone does not cover all of those needs.
Related reading: What is Cultural Localisation? and Nativ features.
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