# Localization services

> Products, model experiences, and media localized for the people, markets, and moments they need to serve.

Make every product, interaction, and story feel designed for the market—not merely translated into it.

Localization works when language, cultural context, product behavior, and release operations move together.

## Services

- [Product localization](https://admas.net/capabilities/localization/product-localization/index.md): Continuous localization for interfaces, help content, release notes, and product journeys.
- [Multimedia localization & transcreation](https://admas.net/capabilities/localization/content-transcreation/index.md): Market-ready text, audio, video, campaigns, and product narratives that preserve intent rather than syntax.
- [Localization quality assurance](https://admas.net/capabilities/localization/localization-qa/index.md): Human and systematic checks for meaning, consistency, layout, locale behavior, and release risk.
- [Audiovisual localization & accessibility](https://admas.net/capabilities/localization/audiovisual-localization-accessibility/index.md): Subtitling, captioning, dubbing, audio description, and media QA designed as one accessible localization system.
- [Continuous localization operations](https://admas.net/capabilities/localization/continuous-localization-operations/index.md): Release-connected localization workflows that move multilingual product content safely from source change to production.

## Signals that this work matters

- Translations are technically correct but do not sound native
- UI context gets lost between product and language teams
- Launches stall in linguistic review and rework
- Brand voice shifts from market to market

## Signals field brief

- [The Modern Localization QA Cycle](https://admas.net/signals/modern-localization-qa-cycle/index.md): Quality is not a final proofreading step. It is a chain of decisions from source design and risk routing through in-context testing, release authority, and production feedback.

## Outcomes

- **Market-fit language:** Terminology and tone built around user intent, brand voice, and local expectations.
- **Release-ready content:** Linguistic work connected to product context, QA, and the shipping calendar.
- **A system that learns:** Feedback, language assets, and decisions captured for the next release.

## Frequently asked questions

### What does localization cover?

Products, model experiences, and media localized for the people, markets, and moments they need to serve. Admas treats it as a connected practice spanning Product localization, Multimedia localization & transcreation, Localization quality assurance, Audiovisual localization & accessibility, and Continuous localization operations. A project can start with one focused service and expand only where the evidence shows a dependency.

### Who is localization for?

This work is usually shared by product, content, design, engineering, support, legal, and market teams preparing a multilingual release. The exact team depends on who owns the affected user journey, data, system, content, market decision, and release risk.

### When should a team start localization work?

Start before a launch is locked when possible. Common signals include translations are technically correct but do not sound native, ui context gets lost between product and language teams, launches stall in linguistic review and rework, and brand voice shifts from market to market. A focused diagnostic can still help when the work has already become a recovery project.

### What inputs does a localization engagement need?

Useful starting inputs are representative source content or builds, target locales and audiences, brand and terminology guidance, release timing, known legal, safety, and and accessibility constraints. They do not need to be complete: unknowns should be recorded as assumptions, risks, or discovery questions rather than silently filled in.

### How does localization connect to other localization and internationalization work?

The practice rarely stands alone. Product architecture affects localization; data affects model behavior; language quality affects release decisions; and program design affects whether improvements persist. Admas maps those handoffs explicitly so each specialist can work from the same acceptance criteria.

### What should AI automate in localization, and what should people own?

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.

### How is quality measured in localization?

Use evidence tied to the intended decision, not one universal score. Typical measures include meaning and terminology accuracy, task completion in context, linguistic and functional defect severity, market acceptance, and rework and turnaround. Results should be segmented by language, market, content or task type, and risk so an average cannot hide a serious local failure.

### How is localization priced?

Pricing depends on word or asset volume, content type and risk, language pairs, workflow and file condition, review depth, turnaround, and engineering and project-management effort. A defensible estimate separates repeatable production units from discovery, engineering, review, management, pass-through costs, and contingency. Admas scopes the acceptance criteria and review path before treating a volume number as a quote.

## Start a project

- [Build a localization project brief](https://admas.net/start-a-project/index.md?focus=localization): Share the product or model, modalities, languages, timing, and current constraint.