This page breaks down Linguana ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Linguana’s overall reputation. This data-driven overview will show you exactly how Linguana is rated - including how it compares to competitors.

Linguana's Overall Rating Summary

  • Average Rating:4.2/5
  • Total Reviews:31 reviews
  • Sources:G2, Trustpilot, Producthunt
  • Last updated:September 1, 2025

Linguana Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.5/5
14+ reviews01.09.25
Trustpilot logoTrustpilot
3.9/5
16+ reviews01.09.25
Producthunt logoProducthunt
5/5
1+ reviews05.08.25

What is Linguana?

Linguana enables easy translation and localization of websites into 100+ languages with features like automatic AI translations, translated URL slugs, and SEO-friendly subdirectory structures. It supports platforms such as Webflow, Framer, Carrd, and Wix, optimizing global SEO performance. Additional capabilities include no-code installation, affordable pricing, and auto-redirects between translated pages.

🤔 Linguana vs Competitors: How Do Ratings Compare?

Check out Linguana Alternatives

Frequently Asked Questions

How trustworthy is Linguana?

According to G2 and Producthunt review sites Linguana holds ratings of 4.5/5 and 5/5 respectively from 15 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.

How many stars is Linguana rated?

Linguana has an average star rating of 4.2 out of 5 stars based on average of 31 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from Linguana public reviews pages on platforms: G2, Trustpilot, Producthunt. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for Linguana is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.