Layrr vs sizeless: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Layrr and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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
sizeless
sizeless
Turns a smartphone video of an open trench into a centimetre-accurate 3D point cloud, CAD as-built plan and GIS-ready digital twin of buried utilities.
Key features
- Smartphone capture: Field crews record an open trench with a standard iPhone Pro — no specialist scanning hardware and no separate surveying appointment
- Centimetre-accurate point clouds: Reconstruction algorithms developed at ETH Zurich build a high-resolution 3D point cloud of the excavation from the video alone
- Standards-compliant CAD output: Generates as-built plans in DWG and DXF, with couplings and pipe runs identified and measurements simplified
- 3D digital twin and GIS export: Produces a model of the pipe route including building entries that drops into existing GIS systems
- Works without GPS: Captures basement sections and building entry points where GNSS-based surveying fails
- Immediate backfilling: Because capture takes minutes, trenches close right after filming instead of waiting on a survey crew
- Documentation in about 72 hours: Complete records arrive weeks earlier than conventional surveying, enabling prompt connection billing
- Third-party utility capture: Records crossing utilities and as-laid geometry as unbroken 3D evidence, replacing hand sketches
Best for
- A utility network operator documenting residential service connections without booking a surveyor for every site
- A contractor closing a trench the same day instead of leaving it open pending a survey appointment
- Capturing a building entry point in a basement where GPS-based surveying cannot get a fix
- A district heating project producing as-built DWG plans for regulatory sign-off
- Spotting a laying error in the 3D point cloud before backfilling, while the fix is still cheap
- Feeding as-built pipe geometry into a GIS system for long-term network maintenance planning