Short answer: An integration connects AI translation functions directly to existing systems and workflows. This allows content to be processed where it is created, without having to transfer it manually between different applications.
The key types of integration at a glance
- API interfaces: AI translation functions are called directly from other applications and systems.
- Plugins and connectors: Existing software is enhanced with AI-powered translation functions.
- Automated workflows: Content can be automatically submitted for translation, processed and then handled further.
- Workflow integration: AI is integrated into existing processes without having to replace existing systems entirely.
✅ Example from practice
A company manages product information in a PIM or content system. Via an interface, texts can be transferred 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 specifically enhance existing processes with AI-powered translation functions.