Short answer: An integration connects AI translation functions directly to existing systems and work processes. This enables content to be processed where it is created, without having to transfer it manually between different applications.
The main integration types at a glance
- API interfaces: AI translation functions are called directly from other applications and systems.
- Plugins and connectors: Existing software is extended with AI-powered translation functions.
- Automated workflows: Content can be submitted for translation, processed and then handled further automatically.
- Workflow integration: AI is integrated into existing processes without having to replace existing systems completely.
✅ Real-world example
A company manages product information in a PIM or content system. Via an interface, texts can be submitted to an AI translation platform, processed in accordance with defined translation requirements and then returned to the existing process.
💡 Good to know
An AI translation platform does not have to replace existing systems. Interfaces and integrations can be used to selectively extend existing processes with AI-powered translation functions.