What is continuous localization? Benefits, tools & setup

Continuous localization is the practice of translating new and changed content as soon as it is created, instead of waiting for a big release. Strings move automatically from your code repository to your localization platform, get translated, and flow back into the product as part of the normal development cycle, the same way CI/CD works for code.

Traditionally, localization was a separate phase that started only after development ended. If your team ships updates every week or every day, that model leaves some users with untranslated features. Continuous localization fixes this.

What is continuous localization?

Continuous localization is an approach to the translation and adaptation of content that aligns with the principles of continuous integration and continuous delivery (CI/CD). It is a process that aims to keep software or content continuously updated and available in multiple languages to support global users.

This means:

Real-time localization, because new and updated content is translated as soon as it is available.
Automated workflows, as localization tasks are automated to streamline the process and reduce manual effort.
Integration with development tools; they are integrated with development tools to facilitate seamless collaboration.
Early feedback, because translations are reviewed and feedback is provided early in the development cycle.
Continuous delivery; translated content is integrated into the product as part of the regular development cycle.

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Continuous vs. traditional localization

	Traditional localization	Continuous localization
When translation starts	After development is finished	As soon as a string is added or changed
How files move	Exported and sent by hand	Synced automatically with the repository
Release timing	Localized versions ship later	All languages ship together
Batch size	Large batches before a release	Small, frequent updates
Fits	Products with rare, big releases	Products updated weekly or daily

Benefits of continuous localization

So, what can continuous localization offer and how can it help you achieve your business goals? Some of the key benefits of using this methodology include:

Faster time to market

Continuous localization lets you release your products in multiple languages more quickly. If you translate new content as soon as it is created, you can avoid the long lead times associated with older localization methods. This would be a significant competitive advantage, as it allows you to reach new markets sooner.

Reduced localization costs

By automating tasks and catching errors early, you can avoid costly rework later in the development process. Additionally, continuous localization can help your business to leverage economies of scale, as you can translate larger volumes of content at once.

Improved product quality

Provide feedback on translations early in the development process, and you’ll identify and fix any issues before they are released to users. This can help to ensure that your localized products or services are accurate, culturally sensitive, and user-friendly.

Enhanced user experience

Because new and updated content is translated as soon as it is available, users always have access to the latest translated information. By translating content in a continuous manner, you can also ensure that terminology is consistent across all languages, avoiding confusion and enhancing clarity for users. Furthermore, continuous localization can be used to create adaptive interfaces that adjust to the preferences and needs of individual users.

Challenges of continuous localization

No methodology comes without its challenges, and continuous localization is no exception. Some of the aspects businesses typically struggle with include:

Technical setup

Continuous localization requires integrations with development tools and workflows.

How to handle it: choose a localization platform with native integrations for your repository, so you don’t have to build the connection yourself.

Version control

Managing version control in a continuously evolving development environment can be complex.

How to handle it: let the platform sync strings automatically and mark translations that need review when the source changes.

Changes to the workflow

Developers and localization teams need to work closely, but this is hard if your teams are used to working in silos.

How to handle it: agree on when strings are synced and who reviews them, and automate the handoffs.

Resource allocation

A steady flow of new strings can strain translators and reviewers.

How to handle it: use machine or AI translation for first drafts and reserve human review for what matters most.

Management change

Moving from traditional to continuous localization requires a shift in mindset.

How to handle it: start with one product or one language, show the results, then expand.

Tools for continuous localization

Several tools and platforms are available to support continuous localization. Localization management platforms are among the key tools. These are web-based platforms that manage the localization workflow, with repository integrations, collaboration tools for translators and project management, among other features.

Version control systems provide a centralized repository for managing and tracking changes made to localized content throughout the localization process. Translation memory and glossary tools keep translations consistent. Localization platforms usually include them.

Automation APIs connect the source code repository and the localization platform, automating content extraction and translation updates in software localization. Continuous Integration/Continuous Deployment (CI/CD) tools can trigger localization steps whenever the source code changes, so localized content stays up to date.

For websites or applications that use a content management system (CMS), localization can be integrated directly into the content creation and management process. CMS tools with localization support enable easy management of translated content.

Machine and AI translation are also useful tools for continuous localization, as these engines and large language models translate new strings instantly, giving you drafts to review in seconds.

Continuous localization with POEditor

POEditor offers integrations for GitHub, GitLab, Bitbucket, and Azure Repos, as well as webhooks, automated workflows, an API, and callbacks. Teams can automate the exchange of source strings and translations between their repositories and localization projects.

Below, you’ll see all the ways POEditor connects with your development and translation processes.

Git repository integrations

GitHub

Connect POEditor to GitHub to manage localization files directly from your repositories. Once connected, you can link each language in a POEditor project to a file in a GitHub repository by selecting the relevant branch and file.

Import source strings and existing translations into POEditor, then configure import rules to identify new, obsolete, or updated terms. Export rules let you control which terms and translations are included in the language files returned to your repository.

For continuous localization, GitHub webhooks can trigger imports or synchronization when selected repository events occur, such as pushes. You can also use webhooks to trigger POEditor Workflows, allowing new source strings to move into a translation process automatically.

GitLab

POEditor’s GitLab integration connects your localization projects with files stored in GitLab repositories. Link repository files to their corresponding project languages, import existing strings and translations, and export the localized files when they are ready.

The import and export rules let you control which strings move between GitLab and POEditor.

For a more automated workflow, configure GitLab webhooks to trigger localization operations when selected repository events occur. You can also use webhooks to launch POEditor Workflows, combining repository imports with other localization tasks.

GitLab supports self-managed installations as well, subject to the instance’s API compatibility and configuration requirements, making the integration suitable for teams that host their development infrastructure themselves.

Bitbucket

POEditor’s Bitbucket integration lets you link language files in your Bitbucket repositories to the corresponding languages in your localization projects. You can import terms and translations, manage updates through configurable rules, and export translated files back to your repository.

To reduce manual work, configure Bitbucket webhooks to trigger imports or synchronization when repository events occur, such as code pushes or merged pull requests. You can also use a POEditor-generated webhook to trigger a workflow that processes incoming strings or coordinates additional localization tasks.

Azure Repos

For teams using Azure Repos, POEditor’s Azure Repos integration provides a way to connect repository-based localization files with POEditor projects.

Link each language to its corresponding file and branch, then import terms and existing translations. Import and export rules allow you to manage which strings are processed and which translations are delivered to your repository.

Azure Repos webhooks can trigger localization operations when selected repository events occur. They can also launch POEditor Workflows, enabling teams to combine repository synchronization with automated translation and other supported tasks.

Other ways to automate continuous localization

Webhooks

Webhooks let you trigger POEditor operations in response to events in your development environment. Each supported Git integration provides a webhook generator, so you can choose the operation to perform and configure the resulting URL in your repository’s webhook settings.

Depending on the configuration, webhooks:

Import terms and translations from linked repository files.
Synchronize source strings and translations between a file and a POEditor language.
Trigger POEditor Workflows to execute a sequence of localization tasks.
Automate repository-to-localization updates without requiring someone to initiate each import manually.

Webhooks are particularly useful when you want repository activity to initiate localization work automatically. They can also be triggered from external systems, so you have more flexibility in how you manage synchronization.

Important: The synchronization operation can remove terms from POEditor that are absent from the linked file. When working with multiple files linked to a source language, configure synchronization carefully to avoid unintentionally removing terms imported from other files. Also, exporting cannot be triggered directly from the integrated Git hosting service itself; exports can be initiated through other supported webhook triggers or workflows.

Workflows

POEditor’s Workflows let you chain localization operations into an automated process, using a trigger to initiate the configured steps. Workflows can also be triggered through webhooks, allowing repository events or external systems to initiate a series of localization tasks.

Read more: Workflows

API

POEditor’s API allows developers to integrate localization operations into their own tools, scripts, and CI/CD pipelines. The API can be used to manage project terms and translations, initiate supported imports or exports, and incorporate localization steps into existing build and deployment processes.

Read more: API v2 Documentation

Callbacks

While webhooks can trigger actions in POEditor, callbacks have a different role: they notify an external application when specified events occur in a localization project. They can be used to inform other systems that localization activity has taken place. Useful when you need POEditor to communicate events to your own application.

Read more: How to use callbacks

Slack and Microsoft Teams

POEditor’s Slack and Microsoft Teams integrations can give you automated notifications about important localization events and project activity. These integrations complement repository synchronization and automated workflows; they keep your devs, translators, and project managers informed without them having to monitor POEditor continuously.

Your translation options

You can combine the options that align with your resources:

Invite translators and team members to specific languages.
Crowdsource translations from your community with public projects.
Order professional translation from one of our providers.
Use machine translation or AI translation with your own OpenAI, Anthropic (Claude), Google (Gemini), Azure AI or Amazon Bedrock account.

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Frequently asked questions

Is continuous localization the same as CI/CD?

No, but it follows the same idea. CI/CD automates building and releasing code. Continuous localization applies that automation to translations, so every release ships in all languages.

Do I need a localization platform for continuous localization?

In practice, yes. A platform connects to your repository, detects new strings, manages translation and sends the results back, which is hard to do reliably with scripts and spreadsheets.

Can new strings be translated automatically?

Yes. In POEditor, workflows can translate new source strings with AI or machine translation as soon as they arrive from your repository, and send them for review or straight back to your code.

Is continuous localization only for large companies?

No. Small teams benefit the most, because automation replaces the manual work they don’t have time for.

How can continuous localization improve time-to-market?

New strings are translated while development continues, so every language ships with the same release instead of weeks later. There is no separate translation phase at the end, and no batch of untranslated features waiting for the next update.