Localization

Product localization

Continuous localization for interfaces, help content, release notes, and product journeys.

The challenge

A translated interface can still feel foreign. Users notice when labels ignore context, terminology shifts, or layouts fail under real language pressure.

We connect linguists to the product itself: screens, flows, constraints, user intent, and release cadence. That context produces language that fits the interaction instead of merely matching the source string.

The engagement can cover a single launch or operate as an ongoing localization lane alongside product and engineering teams.

How we work

Local insight. Technical evidence. A system your team can run.

We adapt the depth and sequence to your product or model stage, modalities, language scope, and internal team.

Phase 01

Map the experience

Inventory user journeys, content surfaces, locale risks, ownership, and the points where context disappears.

Phase 02

Build the language system

Create terminology, voice guidance, contextual notes, review paths, and locale-specific rules.

Phase 03

Ship with confidence

Run in-product review, linguistic QA, release triage, and a feedback loop for future builds.

Typical outputs

What your team can use.

  • Localized product strings and supporting content
  • Terminology base and style guidance
  • In-context review and issue log
  • Release QA and handoff documentation
Before the brief

Questions about product localization

What the work means, where people and AI fit, how quality is judged, and what changes the estimate.

What is product localization?

Continuous localization for interfaces, help content, release notes, and product journeys. In practice, the work is bounded by a defined product or model decision, named audiences and locales, representative inputs, and acceptance criteria that can be reviewed.

When does a team need product localization?

A translated interface can still feel foreign. Users notice when labels ignore context, terminology shifts, or layouts fail under real language pressure. The useful starting point is the smallest representative flow that can expose the cause, impact, and ownership of the problem.

What does a product localization engagement include?

Map the experience: Inventory user journeys, content surfaces, locale risks, ownership, and the points where context disappears. Build the language system: Create terminology, voice guidance, contextual notes, review paths, and locale-specific rules. Ship with confidence: Run in-product review, linguistic QA, release triage, and a feedback loop for future builds.

What should we provide before product localization starts?

The most useful inputs are representative source content or builds, target locales and audiences, brand and terminology guidance, release timing, known legal, safety, and and accessibility constraints. Admas can begin with a partial package, but missing context, rights, access, owners, or acceptance criteria will be made visible in the plan rather than treated as harmless assumptions.

What does Admas deliver for product localization?

Typical outputs include localized product strings and supporting content, terminology base and style guidance, in-context review and issue log, and release qa and handoff documentation. Deliverables are adapted to the team that must use them, with decisions, evidence, limitations, owners, and next actions made explicit.

How is the quality of product localization evaluated?

Quality is measured against the real task and risk. Relevant evidence can include meaning and terminology accuracy, task completion in context, linguistic and functional defect severity, market acceptance, and rework and turnaround. Sampling, severity rules, reviewers, adjudication, and pass or fail thresholds should be agreed before the result is used as a release decision.

Can AI replace the human work in product localization?

Automation can prepare files, pretranslate suitable content, enforce terminology, and flag mechanical defects. Translators, editors, market reviewers, localization engineers, testers, and program owners remain responsible for meaning, audience fit, product behavior, exceptions, and release decisions. The right allocation depends on consequence, content stability, available references, language coverage, reversibility, and the cost of a plausible but wrong result.

How much does product localization cost?

The estimate changes with word or asset volume, content type and risk, language pairs, workflow and file condition, review depth, turnaround, and engineering and project-management effort. Pricing should distinguish setup and discovery, repeatable units, specialist or engineering time, independent review, management, and external costs. A low unit price is not comparable if it excludes the QA cycle or shifts rework back to the buyer.

Keep exploring
Bring us the brief

Make product localization move.

Tell us what you are building, which modalities and languages matter, and where progress is blocked.

Build a project brief