Layrr vs Screencap: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Layrr and Screencap — 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
Screencap
Proteus Computer Use
Local-first macOS screen recorder that captures, labels, and indexes team workflows so knowledge stays searchable and private.
Key features
- Local-First Capture: Recordings live in ~/.screencap on your Mac and never leave unless you explicitly share them.
- On-Device Task Segmentation: An on-device model breaks long recordings into labeled tasks like payroll runs, expense approvals, or CRM data entry.
- Full-Text Search of Workflows: Every spoken word and on-screen moment is indexed so any past workflow can be surfaced months later by search.
- Privacy-Enforced Recording: Password managers and banking apps are cut before a frame is written; email and chat are masked in real time.
- MCP Context Snapshots: While recording, Screencap queries connected MCP servers to capture the exact Gusto/Attio/Linear/Notion record on screen inside the video.
- Deliberate Sharing With PII Scrubbing: Every shared copy is scrubbed of names, secrets, and PII, and only the recordings you pick ever leave the machine.
- Source-Available Codebase: The full capture engine, encryption, agent, and anonymizer are public on GitHub under PolyForm Noncommercial 1.0.0.
Best for
- Team Onboarding: Assemble ordered collections of real workflow recordings so new teammates learn exactly how work is actually done.
- Institutional Knowledge Capture: Preserve the tacit steps behind payroll runs, reconciliations, and quarterly reports as searchable video.
- Ops Documentation: Replace stale wikis by pointing teammates at labeled task recordings that stay current with the real system.
- Compliance-Sensitive Recording: Capture back-office work in banking, finance, and HR without leaking passwords, account balances, or PII.
- Computer-Use Dataset Contribution: Optionally donate reviewed, scrubbed recordings to a public dataset for training open computer-use models.