If you already use Custom.MT to manage machine translation providers and automate localization, you do not want another tool that forces a new workflow.
This guide shows how to integrate Lara Translate with Custom.MT so Lara Translate becomes a machine translation provider inside Custom.MT, and you can keep MT governance, routing rules, and automation exactly where they are.
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TL;DR
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Why it matters
Most translation issues are not caused by “one bad engine.” They are caused by friction: switching tools, exporting and re-importing, and trying to keep terminology consistent while content changes every week.
When you connect Lara Translate to Custom.MT, you can keep provider governance and workflow automation in one place, while adding a context-aware engine option that performs better on tone and terminology for real-world content.
How to integrate Lara Translate with Custom.MT
At a high level, the Lara Translate Custom.MT integration is simple: enable Lara Translate as a provider in Custom.MT, connect your API key, decide where it should apply, and test on a job that looks like your day-to-day workload.
What you get with the Lara Translate Custom.MT integration
- Seamless provider setup
Add Lara Translate as a translation provider inside Custom.MT without changing how your team already runs projects. - Context-aware output
Lara Translate is designed to preserve tone, terminology, and brand voice so output feels aligned, not generic. - Centralized MT governance
Keep provider selection, routing rules, and automation inside your MT management layer, and standardize how translations are generated across teams. - Scalable workflows
Whether you are localizing a website, shipping frequent product updates, or running bulk jobs, you can keep Lara Translate inside the same Custom.MT workflow automation you already use. - Hybrid option when needed
Keep your review steps for business-critical or sensitive content, and use AI speed where risk is low.
1-minute decision table: should you enable Lara Translate in Custom.MT?
| If you are doing this… | Enable Lara Translate in Custom.MT when… |
| Using multiple CAT/TMS tools | You want one MT layer to control providers and quality across tools. |
| Managing MT providers centrally | You want Lara Translate available as an engine option inside the platform you already govern. |
| Trying to improve consistency | You care about tone and terminology consistency across domains and content types. |
| Scaling localization automation | You want fewer manual steps and more predictable throughput for recurring translation work. |
How Lara Translate fits into a Custom.MT workflow
Custom.MT lets teams manage machine translation providers, route content through workflows, and standardize how translations are generated. When you add Lara Translate as a provider, Lara becomes available anywhere Custom.MT applies MT, including workflows that feed downstream tools.
Typical ways teams use this setup
- MT governance: choose when Lara Translate is used, for which content types, and under which workflow rules.
- Workflow automation: translate at scale with less manual handling, then send results to review or delivery steps.
- Tool coverage: keep a consistent engine option across multiple tools by using Custom.MT as the integration layer.
How to integrate Lara Translate into Custom.MT (step by step)
Watch the full video:
- Enable the Lara Translate provider in Custom.MT
In Custom.MT, open your MT provider settings and choose Lara Translate as a provider option. - Connect your Lara Translate account (API key)
Add your Lara Translate credentials in the provider configuration so Custom.MT can send translation requests to Lara Translate. - Select language pairs and where the provider should apply
Define the language pairs and workflow contexts where you want Lara Translate to run (for example, specific projects, domains, or content types). - Run a real test and tune routing rules
Test on a typical job, then adjust workflow rules depending on content type, volume, and risk level.
By bringing Lara Translate into Custom.MT, you get a context-aware MT engine inside the provider layer you already trust, without changing how your team already works.
Enable Lara Translate in your Custom.MT stack
Add Lara Translate as an MT provider, run a real workflow test, and validate output on tone, terminology consistency, and scalable automation.
👉 See how to activate the Custom.MT integration
FAQ
Do I need an API key to connect Lara Translate to Custom.MT?
Yes. You typically connect Lara Translate by adding your Lara Translate API key in the Custom.MT provider configuration.
Where will Lara Translate be available after setup?
Anywhere Custom.MT applies MT in your workflows. This can include flows that feed downstream tools, so you keep one consistent provider option across your stack.
How do I test the Lara Translate Custom.MT integration properly?
Run a real “typical” job, then evaluate output on terminology, tone, and any domain-specific requirements. Use the result to tune routing rules by content type and risk level.
Should I route every type of content through the same MT engine?
Not always. Many teams use one routing approach for low-risk, high-volume content and a stricter review path for business-critical or sensitive content.
Can this help when we use multiple tools like Trados or memoQ?
Yes. If Custom.MT is your MT management layer, adding Lara Translate as a provider can make it easier to standardize provider access and governance across multiple tools.
This article is about:
- How to integrate Lara Translate with Custom.MT so Lara becomes a governed machine translation provider inside your workflows.
- When the Lara Translate Custom.MT integration is the right fit for multi-tool localization teams that need centralized MT governance.
- A practical, test-first setup checklist to validate output quality and tune routing rules by content type.
