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Localazy

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  • Tool Introduction:
    Localazy AI automates localization for apps, websites, and feeds.
  • Inclusion Date:
    Oct 28, 2025
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Tool Information

What is Localazy AI

Localazy AI is an AI-assisted software localization platform that connects developers and non-developers in a single workflow. It centralizes string management for apps, websites, product feeds, and design assets, and automates translation with machine translation, translation memory, glossaries, and review workflows. Teams across roles—CMOs, CTOs, Product Managers, Translators, Developers, and Localization Managers—use it to run continuous localization, maintain brand terminology, and deliver multilingual releases faster across SaaS, e-commerce, fintech, travel, agencies, and nonprofits.

Localazy AI Main Features

  • AI-assisted translation: Boosts speed with machine translation suggestions and automated pre-translation, guided by glossaries and style preferences.
  • Translation Memory (TM): Reuses previously approved strings to improve consistency and lower costs over time.
  • Terminology & glossaries: Enforces brand and domain-specific terms across products and markets.
  • Continuous localization: Syncs strings through CLI/API and repository workflows to fit CI/CD and agile releases.
  • Collaboration for mixed teams: Role-based permissions for developers, translators, reviewers, and stakeholders.
  • Quality assurance checks: Automated validations for placeholders, punctuation, length, and missing strings.
  • Broad file-format support: Works with common resource formats for mobile, web, and backend services.
  • Design localization: Supports design-first workflows so copy and UI text remain aligned.
  • E-commerce & feeds: Streamlines product feed localization and Translate Shopify Store scenarios.
  • APIs, SDKs, and CLI: Flexible integration options for importing, exporting, and automating at scale.
  • Progress tracking: Dashboards for language coverage, review status, and release readiness.

Who Should Use Localazy AI

Localazy AI suits product teams that need reliable, scalable software localization, including startups & SaaS, digital agencies, e-commerce stores, fintech platforms, translation agencies, travel & tourism apps, and nonprofit initiatives. It helps developers automate string sync, enables translators and reviewers to deliver quality quickly, and lets product and marketing leaders manage multilingual content, design localization, and website or e-learning localization with predictable workflows.

How to Use Localazy AI

  1. Create a project and define source language and target locales.
  2. Connect your codebase or CMS via API, CLI, or repository sync; import resource files.
  3. Configure AI pre-translation, select machine translation engines, and set up translation memory and glossaries.
  4. Assign roles for translators, reviewers, and developers; define review and release workflows.
  5. Run pre-translation, then review suggestions, fix QA warnings, and approve strings.
  6. Export or auto-sync translated resources back to your app, website, or product feed.
  7. Monitor coverage and quality, iterate continuously with each release cycle.

Localazy AI Industry Use Cases

- A SaaS team localizes UI strings and onboarding flows into 12 languages using continuous localization, reducing release-day bottlenecks.
- An e-commerce brand translates product feeds and a Shopify storefront, keeping prices, attributes, and SEO text aligned across locales.
- A fintech app applies glossaries to enforce regulatory and legal terms, improving accuracy in sensitive workflows.
- A digital agency standardizes localization for multiple client websites and landing pages, reusing TM to cut turnaround time.
- A nonprofit localizes e-learning modules and content updates on a rolling schedule to reach new regions.

Localazy AI Pros and Cons

Pros:

  • End-to-end workflow for software localization, content, and design.
  • AI-assisted translation accelerates delivery while maintaining consistency.
  • Developer-friendly integrations (API/CLI) for CI/CD and automation.
  • Robust TM, glossary, and QA checks to protect quality and brand voice.
  • Scales across teams, roles, and multiple products or repositories.

Cons:

  • Initial setup and integration may require developer time and process changes.
  • AI outputs still need human review for nuanced or regulated content.
  • Complex projects with many locales can introduce governance overhead.
  • Advanced features and high MT volumes may add to operating costs.

Localazy AI FAQs

  • Does Localazy AI support continuous localization?

    Yes. It integrates via API/CLI and repository workflows so strings sync automatically as you ship updates.

  • Can non-developers work in Localazy AI?

    Yes. Translators, reviewers, and managers get role-based access, guided workflows, and quality checks without touching code.

  • What content types can it localize?

    Apps and websites, design assets, product feeds, Shopify stores, and e-learning materials are common use cases.

  • How does it keep terminology consistent?

    Glossaries and translation memory enforce preferred terms and reuse approved segments across projects and locales.

  • How do teams ensure quality?

    Use AI pre-translation plus human review, run automated QA checks, and track coverage and approval status before release.

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