React Native Elements VS RTLAuto

RTLAuto is a Figma plugin for preparing designs for both RTL and LTR markets with less manual rework.

It intelligently adapts Auto Layout, alignment, directional icons, typography, fonts, variables, components, gradients, shadows, corner radii, strokes, padding, and translated content while preserving the structure and consistency of the original design.

Key capabilities: - Bidirectional RTL and LTR conversion - Auto Layout and component adaptation - Directional icon flipping - Font handling and directional typography mapping - Design-token and variable support - Gradient, shadow, corner, stroke, and padding direction updates - Translation across 194 language targets

The free plan includes 10 operations per day and two component conversions per Figma account. Pro and Business plans support larger workflows and design-system teams.

Built for: Global brands entering MENA, regional product teams, government digital services, design studios, small businesses, and independent Figma designers.

Questions & Answers

As answered by people managing React Native Elements and RTLAuto.

What makes your product unique?

RTLAuto's answer:

RTLAuto is focused on real bidirectional Figma workflows, not only text translation or simple mirroring. It helps designers convert interfaces between LTR and RTL while preserving structure, components, Auto Layout behavior, styles, variables, typography, shadows, gradients, spacing, and directional details.

This makes it useful for product teams and design-system teams that need Arabic, Hebrew, Persian, Urdu, or multilingual interface versions without rebuilding layouts manually.

Why should a person choose your product over its competitors?

RTLAuto's answer:

Choose RTLAuto when your goal is to prepare production Figma files for both RTL and LTR markets with less manual cleanup. It is designed around interface direction, design-system consistency, and practical handoff quality.

RTLAuto is especially useful when a file includes Auto Layout, components, directional icons, typography choices, variables, shadows, gradients, padding, strokes, and translated content that all need to remain coherent after conversion.

How would you describe the primary audience of your product?

RTLAuto's answer:

RTLAuto is built for Figma designers and product teams working on bidirectional interfaces. The primary audience includes global brands entering MENA, regional product teams, government digital services, design studios, small businesses, independent Figma designers, UX/UI teams, localization teams, and design-system teams.

It is most relevant when teams need to support Arabic, Hebrew, Persian, Urdu, or mixed-language product experiences while keeping design files structured and reusable.

What's the story behind your product?

RTLAuto's answer:

RTLAuto was built around a recurring design problem: teams often finish a strong LTR product design, then spend significant manual time preparing the RTL version for Arabic, Hebrew, Persian, Urdu, or mixed-language markets.

The product focuses on reducing that repetitive cleanup inside Figma by automating direction-aware layout adaptation, translation support, font handling, directional icons, components, and design-system details.

What are some alternatives?

When comparing React Native Elements and RTLAuto, you can also consider the following products

NativeBase - Experience the awesomeness of React Native without the pain

Figma - Team-based interface design, Figma lets you collaborate on designs in real time.

React Native Paper - React Native Paper is a high-quality, standard-compliant Material Design library that has you covered in all major use-cases.

Lokalise - Localization tool for software developers. Web-based collaborative multi-platform editor, API/CLI, numerous plugins, iOS and Android SDK.

React Native UI Kitten - Customizable and reusable react-native component kit

Crowdin - Localize your product in a seamless way with Crowdin's translation management software

Compare React Native Elements VS RTLAuto and see what are their differences