arb_translate 是一个命令行工具，利用 Google Gemini 或 OpenAI ChatGPT 的 AI 模型自动生成功能缺失的 ARB（App Resource Bundle）文件中的翻译。由 LeanCode 开发，该工具通过基于现有字符串提供准确的翻译建议，简化了本地化工作流程，减少了手动操作。该工具可无缝集成到跨多个平台（包括 Android、iOS、macOS、Windows 和 Linux）的 Flutter 项目中。它支持实时翻译和批量处理，非常适合需要高效管理多语言应用内容的团队。
适合场景
自动化缺失翻译生成
简化国际化工作流程
减少手动翻译工作量
支持多语言 Flutter 应用
将人工智能驱动的翻译集成到CI/CD流水线中
主要特点
通过 Google Gemini 或 OpenAI 提供的 AI 驱动翻译
用于自动化的命令行界面
支持 ARB 文件格式
跨平台兼容性
批量处理翻译键
与 Flutter 项目的轻松集成
适合对象
Flutter 开发人员管理多种语言
使用 ARB 进行本地化的团队
需要快速翻译迭代的项目
具有本地化需求的 CI/CD 流水线
寻求AI辅助翻译工具的开发者
使用建议
需要 Google Gemini 或 OpenAI 的 API 访问权限
依赖互联网连接进行AI调用
高用量的潜在成本
翻译质量取决于提示的准确性
不是人工审查的替代品
原始 README
以下为关联源码仓库的 README 原文快照，最新内容请访问源码仓库。
arb_translate
A command-line tool for automatically generating missing translations to ARB
files using Google Gemini or OpenAI ChatGPT by
LeanCode
Installation
$ dart pub global activate arb_translate
Configuration
arb_translate has been designed to seamlessly integrate with Flutter apps
using flutter_localizations for code generation from ARB files. Thanks to this
integration, the setup process for arb_translate can be completed in just a few
steps:
Generate your API key. You can create your Gemini key
here or your OpenAI key
here
Save your API token in the environment variable ARB_TRANSLATE_API_KEY or
add arb-translate-api-key: {your-api-key} to l10n.yaml in your project.
(Optional) Select model used for translation. To do it add
arb-translate-model to l10n.yaml or use command argument --model. The default model is
gemini-2.5-flash. For all available models see arb_translate --help.
(Optional) Add context of your application
arb-translate-context: {your-app-context} eg. "sporting goods store app"
All other required parameters match flutter_localizations parameters and will
be read from l10n.yaml file. You can override them using command arguments if
necessary. See arb_translate --help for more information.
Configuration without l10n.yaml
If you project doesn't include l10n.yaml configuration you have to provide
configuration using environment variables and command arguments. You also have
to provide:
--arb-dir The directory where the template and translated ARB files are
located
--template-arb-file The template ARB file that will be used as the basis
for translation
See arb_translate --help for more information.
Custom model configuration
You can use arb_translate with any model with an OpenAI-compatible API. To configure a custom model:
Add arb-translate-custom-model: {your-model-name} to l10n.yaml or specify
as command argument custom-model: {your-model-name}
Add arb-translate-custom-model-provider-base-url: {your-model-url} to
l10n.yaml or specify as command argument: --custom-model-provider-base-url: {your-model-url}
(Optional) Set target batch size appropriately to model token count limits by
adding arb-translate-batch-size: {size} to your l10n.yaml or specify as
command argument batch-size: {size}. Batch size is the number of characters
of ARB messages in a single batch and does not include the prompt or app
context.
Usage
To generate translations, simply call arb_translate. All messages included in
the template ARB file but missing from other files will be translated. To add a
new locale, simply add an empty ARB file.
$ arb_translate
Or without l10n.yaml file
$ arb_translate --arb-dir...
Read more
If you want to know how we made this tool and what challenges we had,
read the story.
