Extension
Seamless GenAI Workflows for your XTM projects
The Custom.MT XTM Extension connects your XTM Cloud translation management system to our enterprise translation API. This integration automates custom machine translation, machine translation post-editing, translation quality estimation, and terminology validation directly inside your active XTM translation projects.
Full AI Automation
Run MT, APE, and QE automatically based on workflow steps.
Works With Any XTM Setup
No plugin installation required — the extension connects via callback workflow triggers.
Flexible LLM & MT Engine Selection
Use GPT-4o, GPT-5, Claude, Gemini 2.5 Pro, or your custom MT engines.
Secure & Compliant
EU processing, zero data retention, enterprise-grade credentials.
Higher Consistency
Automated steps reduce reviewer workload by 30–60%.
The extension is activated through a dedicated Workflow Step + workflowTransitionCallback.
When XTM reaches that step, it sends the content to Custom.MT → the platform runs AI translation, automatic post-editing, quality estimation, and terminology → and returns the translated segments back to XTM.
Go to Translations → Connections → XTM. This is where the XTM-specific settings live.
Enter the API key or username/password that XTM will use when sending callback requests. This ensures that Custom.MT can securely authenticate incoming translation jobs.
Custom.MT generates a unique URL that XTM needs to call whenever a workflow step. You copy this URL and provide it to your XTM admin or XTM Support to enable the callback.
Select which MT engine or custom model you want to use, and optionally enable Quality Estimation (QE) or Automatic Post-Editing (APE). You can set different models per language pair or per project template.
Once the connection is activated, move a small test job into the "Custom.MT" workflow step in XTM and check that the translation appears in XTM after processing.
For small translation teams and LSP
Note:
The usage of machine translation APIs and GenAI tokens is charged on top of the platform fees. Pricing.
Teams that localize over 10 million target words per year
The usage of machine translation APIs and GenAI tokens is charged on top of the platform fees. Pricing.
Large businesses with compliance requirements
The usage of machine translation APIs and GenAI tokens is charged on top of the platform fees. Pricing.
The Custom.MT extension lets XTM users automate their entire machine translation pipeline, including MT, custom prompts, APE, and QE, without relying on built-in XTM MT providers. Teams choose the extension because it provides full control over models, flexible workflow automation, and deep customization that XTM alone cannot offer.
It’s an API-based extension. XTM supports in-product “Custom MT” features and webhook/callback integrations, but the Custom.MT integration works by receiving workflow callbacks from XTM and returning translated segments via API — not by installing a marketplace plugin inside XTM.
Inside the Custom.MT Console → Translations → Connections → XTM, you enable the XTM connection, provide credentials/API keys for secure calls, and set model/APE/QE preferences.
Recommended quick test:
Secure API key or Basic Auth is used for callback authentication (use encrypted password sharing if required). XTM supports webhook secrets and callback configuration; Custom.MT processes in EU infrastructure. Always exchange credentials via secure channels.
You get better translation quality, lower post-editing cost, automated workflows, and enterprise-grade security. It’s ideal for teams who want customizable, scalable MT automation inside XTM.