AI Translation and Localization: What to Automate and What Requires a Native Speaker
Mariana Lopes · 2026-10-07
Landing page vs. ad vs. call center
The approach to translation and localization varies depending on the context. For product pages and corporate websites, AI can be useful for quick, straightforward translations, but they should always be reviewed by a human, especially when the content involves brand nuances. For ads, localization needs to be more careful, since you have to consider purchase intent and emotional appeal. For call centers, communication needs to be smooth and natural, which requires a native speaker. AI can help with transcription, but the interaction should be handled by humans to ensure empathy and clarity.
Product-specific glossary
Each product may have its own jargon that AI might not pick up on. It’s essential to create a glossary of technical terms and slang. For example, if you sell beauty products, terms like “moisturizer” may vary between “cream” and “lotion” depending on the region. This glossary should be created with the help of native speakers to make sure the translations match the language people actually use.
Sample-based review
Using AI for the first translation is effective, but sample-based review is crucial. If you translate 1,000 words, review at least 10% of them. To ensure quality, choose random samples and, if possible, involve native speakers in the review. This helps identify patterns in errors and adjust the translation process.
Slang and psychological pricing
Localization goes beyond literal translation. Slang is an important part of communication. AI may not pick up regional expressions that affect how people perceive a product. Also, psychological pricing (e.g., R$ 9,99 instead of R$ 10,00) should be adapted to the local culture. What works in one country may not have the same impact in another. A/B testing can help you figure out which approach drives more conversions.
Cost comparison
When comparing costs, machine translation is undoubtedly cheaper upfront. A machine translation service can cost between R$ 0,10 and R$ 0,30 per word, while professional translation can range from R$ 0,50 to R$ 1,50. However, the cost of quality translation can pay off through higher conversion rates and less rework down the line, making it more worthwhile in the long run.
In short, choosing between AI and native speakers depends on the context and complexity of the content. The ideal approach is to find a balance that minimizes risk and maximizes results.
What’s your average cost per translation and review in your business?