AI Translation and Localization: How to Check Quality

Write a localisation brief before translating

Name the source language and the precise target: language, script, region, reader, purpose, channel, and formality. “Translate into Hindi” is incomplete if the real need is simple Devanagari Hindi for first-time users of a government-service explainer. State whether the reader expects native script, Romanised text, or both, and provide a fluent reference example when tone matters.

• Audience — age, location, reading level, and subject familiarity.
• Channel — app button, WhatsApp reply, product listing, subtitle, form, or long article.
• Tone — formal, conversational, instructional, respectful, or urgent.
• Limits — character count, line breaks, placeholders, and text that must remain unchanged.

Separate translation, transliteration, and localisation

Translation changes the language while preserving meaning. Transliteration represents the sounds of one script in another and does not necessarily explain the meaning. Localisation also adapts formats and conventions for the target audience. Ask for the one you actually need; a Roman-script version of a Hindi phrase is not an English translation, and a literal English-to-Marathi draft is not automatically a locally natural customer message.

Create a small glossary and do-not-translate list

List brand names, people, places, product models, government scheme names, technical terms, abbreviations, and preferred translations before generating the draft. Mark URLs, email addresses, coupon codes, variables, and legal identifiers as “do not translate”. Glossaries help maintain consistency, but a reviewer must still check whether each term fits the sentence and audience.

• Source term and approved target term.
• Short definition or context for ambiguous words.
• Capitalisation, script, and spelling rules.
• Terms that must stay in the source language.

Run four quality passes in order

Pass one checks meaning and completeness: no omitted sentence, reversed meaning, or added claim. Pass two checks protected details: names, numbers, dates, units, prices, links, and placeholders. Pass three checks language quality with a fluent target-language reviewer: grammar, formality, idioms, inclusiveness, and natural phrasing. Pass four checks the final screen or file: font support, line wrapping, punctuation, buttons, tables, and reading order.

Localise formats instead of translating them blindly

Dates such as 03/04/2026 can be ambiguous, currency symbols can refer to different currencies, and number grouping or decimal marks vary by locale. Keep the underlying value unchanged while formatting it clearly for the target audience. Unicode CLDR documents locale data used for dates, numbers, currency, units, and other conventions; use tested locale-aware software rather than asking a model to invent formatting rules.

Use human review according to risk

A social caption and a medicine label do not need the same approval process. For a low-risk draft, one fluent reviewer may be enough. For contracts, consent forms, health or safety information, financial terms, government eligibility, exams, or instructions that affect rights, use a qualified domain reviewer and the current official source. Keep personal or confidential material out of consumer AI tools unless its use is authorised and protected.

1. 1Define the exact outcome you want from How to Check Quality.
2. 2Give the AI the necessary context, constraints, examples, and preferred format.
3. 3Review the result for accuracy, tone, privacy, and completeness before using it.
4. 4Save or reuse the prompt only after it produces a reliable result for your use case.

• Treating translation, transliteration, and localisation as the same task.
• Publishing a fluent draft that changed a negation, unit, price, deadline, eligibility rule, or required action.

Recommended tools for this workflow

Frequently asked questions