Decode vs Layrr: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Decode and Layrr — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Decode
Entropik Technologies
A human insights platform that uses emotion AI, webcam eye tracking, and predictive models to test creative, products, and experiences before launch.
Key features
- Emotion AI Measurement: Face emotion, voice emotion, and text sentiment analysis reveal how respondents actually feel during a study rather than only what they report in an answer.
- Webcam Eye Gaze Tracking: Real eye tracking runs through a participant's own webcam with zero hardware, producing attention heatmaps that show where people look first and what they miss.
- AI Creative Insights: Neuro AI predicts attention, emotional resonance, brand recall, and conversion impact for ad creative, packaging, OOH, and web layouts before media spend is committed.
- Synthetic Audience: Build reusable synthetic personas and compare how each creative performs persona by persona ahead of fielding a study with real respondents.
- AI Moderator: Runs moderated and unmoderated interviews at scale, then extracts themes, emotions, and supporting evidence from raw interview and video feedback automatically.
- Shopper and Shelf Simulation: Simulates real-world shelf and pack testing with attention heatmaps, shelf visibility analysis, planogram optimization, and purchase-intent prediction.
- UX Research Suite: Prototype testing, unmoderated task studies, usability and wireframe testing, card and tree sorting, and live website and app testing, each enriched with gaze and emotion data.
- Global Respondent Panel: Access to more than 103 million respondents worldwide, or bring your own panel free of charge on any plan.
Best for
- Pre-Flight Ad Testing: Comparing creative variations and messaging options to predict which version earns attention and recall before buying media.
- Packaging and Shelf Decisions: Testing pack designs and planograms in a simulated retail environment to forecast visibility and purchase intent.
- Product Concept Validation: Screening product concepts, storyboards, and innovation ideas for early-stage market fit before committing development resources.
- UX Friction Discovery: Running prototype and usability studies where webcam eye tracking and emotion signals expose confusion users cannot articulate.
- Qualitative Research at Scale: Using the AI Moderator to conduct and synthesize many interviews into structured themes instead of manual transcript coding.
- Brand Tracking and Price Testing: Running recurring consumer studies on brand perception, pricing, and the customer journey across multiple markets.
Layrr
Layrr
A browser-based visual editor for real code that lets you design UIs visually, edit any stack, and retain full code ownership.
Key features
- Visual Editing: Select, drag, resize and visually manipulate UI elements with a live preview that reflects changes in real code.
- Real-Code Output: Edits map directly to the underlying codebase so changes are exportable and owned by developers rather than locked into a proprietary format.
- Cross-Stack Support: Designed to work across different frontend stacks and sites, enabling visual edits on a variety of frameworks and deployments.
- AI-Assisted Coding Integration: Integrates with coding-agent tooling (community references indicate support for Claude Code workflows) to generate, refactor, or suggest code while preserving visual context.
- Live Browser Interface: Operates in the browser as a WYSIWYG-like editor for websites and web apps, enabling immediate visual validation of changes.
- Developer Handoff: Produces editable source artifacts that can be committed back to repositories, facilitating collaboration between designers and engineers.
- Element-Level Editing: Fine-grained control of individual UI elements (style, layout, attributes) with direct code visibility and adjustment.
- Visual Edit Mode: select, drag, resize UI elements on a page with live preview
- AI-powered code generation to produce or modify real source code from visual edits
- Works on arbitrary websites and stacks (claims to be stack-agnostic)
- Browser-based coding agent interface (web app or extension-style UX)
- Exports real code that can be owned and integrated into projects
- Element-level editing similar to Elementor or Framer
- References to integration with Anthropic Claude (LLM) for code assistance
Best for
- Rapid UI Prototyping: Designers build interactive prototypes directly in the browser and produce production-ready code for developers to refine.
- Visual Refactoring: Developers or coding agents visually adjust layout and styles on an existing site, with changes reflected in source files for commit.
- Live Site Tweaks: Product teams make quick interface adjustments on staging or live pages using drag-and-drop controls without hand-editing markup.
- AI-Augmented Code Changes: Combine visual edits with coding agents (e.g., Claude Code integrations) to automatically generate or refactor the underlying implementation.
- Cross-Stack Collaboration: Teams working across different frontend frameworks collaborate in a single visual environment that maps to each project's real codebase.
- Rapidly prototype and visually design UI on existing websites
- Edit and refine UI components directly in the browser with immediate code output
- Generate or refactor front-end code using LLM-assisted suggestions
- Onboard designers/developers to make visual changes that produce production code
- Use as a coding agent interface for AI-assisted web development workflows