Expand Your Podia Courses and Store Globally with Localize

Translate your Podia site, courses, and storefront into multiple languages and connect with learners and customers around the world.

Seamless Localization for Podia

The Localize + Podia integration automates translation across your entire platform—helping you grow your audience, boost engagement, and deliver localized learning experiences without extra work.
Auto-detect new or updated content across your Podia site, courses, and product pages
Choose AI-powered translation, your team, or Localize’s professional linguists
Deliver consistent, multilingual experiences from course content to checkout

Automated Translation for Podia

Localize instantly detects new or updated course content, product descriptions, and pages, streamlining your translation workflow from start to finish.

Global Growth Made Easy

Expand your Podia platform into new markets effortlessly with automated translation workflows that help you scale faster and smarter.
Setup

Effortlessly set up in no time!

How the Custom Integration Works

Step 1

Work with our team to scope your requirements and integration goals.

Step 2

Use Localize’s API, SDKs, and webhooks to build a solution tailored to your stack.

Step 3

Automate translation workflows, sync content seamlessly, and scale globally with confidence.
Q&A

Frequently Asked Questions

Do I need coding skills to integrate Localize with Podia?

No. The integration is quick and easy to set up, requiring no technical knowledge.

Can I choose which content gets translated?

Yes. You have complete control over what content is localized—whether that’s courses, product pages, landing pages, or checkout flows.

Does Localize support multiple languages for Podia?

Absolutely. Localize supports numerous language pairs, allowing you to expand into any global market.

Join the 40,000+ Users Who Trust Localize to Power Translations

Ready to translate your website and content faster?

Talk to an expert today to find out how you can translate your website in minutes, not months.