Contexa is a design tool for localization and copy generation powered by AI. It allows designers to easily localize their design layers into different languages and generate consistent design copies that boost conversion and user experience.

How does Contexa work?

Contexa is built inside Figma and can be accessed with a plugin. With just one click, designers can localize their design layers and the AI engine will optimize the localized versions for better conversion. Contexa also offers features like co-writing, AI-powered search, and term consistency to streamline design collaboration.

What are the core features of Contexa?

The core features of Contexa include instant generation of consistent design copies, crafting copies that boost conversion and user experience, boosting business value with high-converting design copies, streamlining design collaboration, adopting and personalizing brand style, ensuring term consistency, and automating repetitive writing tasks.

Who can benefit from using Contexa?

Contexa is beneficial for designers, copywriters, UX professionals, and anyone involved in design collaboration and localization. It helps improve the usability and readability of design copies, optimize conversion, save time on repetitive tasks, and ensure term consistency in design.

Is my data secure with Contexa?

Yes, Contexa takes privacy seriously. All data used by the AI engine is temporarily saved and encrypted, and user access is locked. Contexa does not train the AI from user data.

Contexa : Reviews, Pricing, Core features, Use cases, alternatives

Name: Contexa : Reviews, Pricing, Core features, Use cases, alternatives
Rating: 5 (8864 reviews)
Author: toolify

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Contexa

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Design localization, copy library, and gen-AI

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December 11 2023

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Contexa Product Information

What is Contexa?

Design localization, copy library, and gen-AI

How to use Contexa?

Simple, beautiful, and user-friendly design tool for localization. Built inside your Figma. With 1-click, localize all of your design layers into your desired languages. The localized version will be optimized for better conversion and avoid bad meanings.