AI Localizer

AI Localizer Neural Network Description

AI Localizer is a specialized tool for automatic localization of iOS and macOS applications, built directly into the Xcode development environment. The neural network automates the routine process of interface translation: it finds text strings in the project's code and resources, translates them into dozens of languages, and generates ready-to-use localization tables that can be immediately applied in the app.

The tool is developed by Wide Angle Software Ltd and is aimed at developers who want to bring their products to international markets without manually translating every screen. AI Localizer works with existing Xcode projects without requiring changes to the code architecture, making it a universal solution for both new and already published applications. Users can choose between the built-in AI engine, Microsoft Azure, or Google Translate, and can also combine automatic translations with manual editing directly in the interface.

AI Localizer Features

Feature	Value
Type	Translation tools
Category	App localization
Platforms	Xcode (macOS)
Number of languages	37+ (up to 35+ depending on version)
Developer	Wide Angle Software Ltd
Free tier	Yes (for small projects and evaluation)
Publication date on site	September 10, 2025
Monthly site traffic	83.2K
Translation engines	Built-in AI, Microsoft Azure, Google Translate

Who is the AI Localizer neural network for?

Mobile app developers

AI Localizer is designed for iOS and macOS app developers working in the Xcode environment. The tool is useful for both individual specialists and teams that regularly release updates and need to quickly add new languages to their products.

Teams expanding into international markets

The tool is particularly valuable for studios planning international expansion. The ability to translate an app into 37+ languages in just minutes allows quick adaptation of the product for different regions and testing of new markets without significant time investment.

How to use the AI Localizer neural network?

Setting up translation in Xcode

To start working with AI Localizer, a developer needs to select the source language of the project and specify the target languages into which the interface should be translated. The tool automatically processes code strings and resources, generates localization tables, and fills them using the selected translation engine.

Fine-tuning and editing

After automatic translation generation, the developer can configure translator settings: choose the built-in AI, Microsoft Azure, or Google Translate, and also connect their own third-party service account. All translated strings can be edited directly in the Xcode interface — the tool supports combining automatic options with manual corrections.

Working with existing projects

AI Localizer does not require changes to the code architecture and works with existing Xcode projects. This means the tool can be integrated into any current project without rewriting it from scratch or making structural changes.

Key Features of AI Localizer

Automatic text search in the project

The tool independently finds interface strings in the code and resources of an Xcode project, saving the developer from manually copying text for translation. After finding the strings, localization tables are generated and filled with translations.

Translation into 37+ languages

AI Localizer supports interface translation into 37+ languages. Several engines are used: built-in AI, Microsoft Azure, or Google Translate. The developer can choose a preferred service or combine them to achieve the best quality.

Support for various Xcode project formats

The tool is compatible with various file formats used in Xcode projects. This allows working with both standard localization tables (.strings, .stringsdict) and other project resources containing text strings.

CSV export

Translated strings can be exported to CSV format for further use or handoff to a translation team. This is convenient for collaborative work and additional quality control.

Advantages of AI Localizer

Time savings and routine automation

The main advantage of the tool is significant time savings. Localizing an app into multiple languages takes minutes, not days. The tool automates the routine copying of strings and speeds up adding new languages when releasing updates.

Direct integration with Xcode

AI Localizer works directly inside Xcode, so developers don't need to switch between different programs. The entire localization process — from finding strings to editing translations — happens in the familiar development environment.

Flexibility and privacy control

Users can flexibly configure the translation source and connect their own Microsoft Azure or Google Translate account. The tool ensures privacy control: only text strings are sent for processing, without source code or user data.

Simplified updates

AI Localizer simplifies and speeds up translation fixes and updates. When new strings are added to an app, developers don't need to go through the entire localization process again — the tool quickly processes the changes.

Disadvantages of AI Localizer

Translation errors

Like any AI translator, AI Localizer can make mistakes. The neural network may translate too literally, especially complex terms, jokes, or idiomatic expressions. Manual quality review of translations is required.

Cultural nuances and context

The tool does not always account for cultural nuances and language context. Some phrases may sound unnatural or inappropriate in a certain culture, requiring manual refinement.

Dependence on external services

When using Microsoft Azure or Google Translate, the tool depends on the stability of these external services. If they experience outages, some AI Localizer features may become unavailable.

What problems does AI Localizer solve?

Fast app localization

The main purpose of the tool is fast localization of iOS and macOS apps into dozens of languages. AI Localizer automatically adds translated texts to the Xcode project, eliminating the need for manual translation of every screen.

Entering international markets

The tool allows developers to enter international markets without hiring professional translators or spending weeks on manual localization. 37+ languages cover most major global markets.

Update support

AI Localizer speeds up adding new languages during app updates and eliminates manual copying of strings for translation. Developers can focus on logic and interface rather than translation routine.

AI Localizer Pricing

AI Localizer offers three pricing plans:

• Free plan — for small projects and getting familiar with the tool's functionality.
• Starter plan — includes extended functionality for individual use.
• Professional plan — provides maximum capabilities for teams and large projects.

AI Localizer Terms of Use

AI Localizer is distributed under a freemium model: any developer can start with the free plan to evaluate the tool's capabilities. As needs grow, users can upgrade to a paid plan — Starter for individual use or Professional for teams.

The Xcode development environment on macOS is required to work with the tool. If a developer wants to use Microsoft Azure or Google Translate as the translation engine, they will need their own account with the respective service — AI Localizer supports connecting external translators for those who need special control over quality.

AI Localizer Availability

AI Localizer works as a plugin or integration within the Xcode development environment on macOS. The tool is compatible with existing Xcode projects and does not require changes to their architecture.

Three translation options are supported: the built-in AI engine, Microsoft Azure, and Google Translate. The tool is available to iOS and macOS developers worldwide.

How AI Localizer differs from alternatives

AI Localizer stands out among alternatives due to its narrow specialization. Unlike universal AI tools such as ChatGPT, Gemini, or DeepSeek, AI Localizer is created specifically for localizing Xcode projects and is integrated directly into the development environment. This means developers don't need to manually copy strings from the project to a third-party service and back.

The second key difference is working with multiple translation engines. Users can choose between the built-in AI, Microsoft Azure, and Google Translate, combine them, and connect their own accounts. Most alternatives do not offer this level of flexibility.

The third difference is the focus on privacy. AI Localizer sends only interface text strings for processing, without source code or user data. This is an important aspect for developers of commercial applications who cannot disclose their source code.

Conclusion

AI Localizer is a specialized tool for automating the localization of Xcode projects, translating apps into 37+ languages using built-in AI or third-party services. It saves developers time, integrates directly into the development environment, and works with existing projects without changing their architecture. The main limitations are possible translation errors and dependence on external services, so combining automatic translations with manual review and editing is recommended to achieve high localization quality. The tool will be a valuable asset for iOS and macOS developers planning to enter international markets.