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REST (Representational State Transfer) APIs have become the backbone of modern web applications, and offering REST API access for translation workflows enables deep integration, automation, and scalability. This subcategory is dedicated to helping developers, localization teams, and enterprise IT departments implement robust translation solutions using REST APIs. You’ll begin by learning the fundamentals of REST architecture—how HTTP methods (GET, POST, PUT, DELETE) interact with translation endpoints for sending and receiving content. You’ll explore how translation platforms such as DeepL, Lokalise, Crowdin, and Smartling expose RESTful APIs to manage submissions, retrieve localized content, track job status, and sync term bases and translation memory assets. Security is a core part of the training: you’ll set up API authentication using keys, OAuth 2.0, and token-based sessions, with built-in rate limiting, scope control, and data encryption. Practical sessions walk you through sending structured data (JSON, XML, HTML) to translation engines, and parsing returned results while maintaining tag integrity and formatting. Advanced modules cover error handling, versioning, and integration with webhook notifications for asynchronous workflows. Real-world examples include translating blog posts from a headless CMS, localizing app strings directly from GitHub, or batch-translating marketing assets via internal dashboards. You’ll also learn how to use REST APIs to manage translation projects—automating quote generation, assigning jobs to linguists, and collecting quality assurance data. Testing strategies are covered using tools like Postman, Swagger, and cURL. By the end of this course, you’ll be capable of building a secure, efficient, and customized translation automation layer using REST APIs, empowering your systems to speak multiple languages at scale, in real-time.