How to Speed Up Flutter App Localization With AI

At LeanCode, we have developed the arb_translate package to automate the addition of missing translations in Flutter apps using the Google Gemini API. This package streamlines the localization process and eliminates the need for manual copying of new messages.

Working with ARB Files:

• The ARB format, based on JSON, requires logic for extracting locale and parsing placeholders.
• The flutter_localizations package was originally designed for internal use, but it can be integrated with AI models to automate translation.

Addressing Model and API Limitations:

• The Gemini AI model has a token limit for input and output data, so we need to split our data into batches for translation.
• We must manage the number of parallel requests and handle possible rate-limiting errors.

Preparing for AI Translation:

• AI translation understands the translation context and can generate correct plural forms.
• We can provide application context to enhance translation quality.
• In case of JSON parsing errors or malformed data, we can retry the translation.

arb_translate Powered by Gemini AI:

• arb_translate utilizes the Gemini AI to streamline the localization process for Flutter apps.
• It demonstrates how the Gemini API can be leveraged for efficient localization.

Using arb_translate with Gemini AI is a great option for accelerating and simplifying the localization process of Flutter apps, while ensuring accurate and contextually appropriate translations.