Annotate vs CleanSlop: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Annotate and CleanSlop — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Annotate

Free

Record your screen, point and speak — turn the session into a video prompt for Cursor, Claude Code, or Codex.

Point-and-Speak Recording: Capture your screen while drawing and narrating so the agent gets both visual and voice context.
Cursor / Claude Code / Codex Handoff: Drop the session directly into your existing agent — no prompt draft to write.
MCP-Based Delivery: Sends frames and speech through MCP so the agent reads structured context instead of a raw video blob.
Multi-Monitor Capture in One Take: Record app on one display and editor on another together in a single session.
UI Markup Tools: Pen, rectangle, and text annotations mark the exact button or region you mean.
Local-Only Processing: Runs entirely on-device on Apple Silicon — no upload, no login, no cloud.
Fewer Tokens per Change: Structured video prompts reduce token load compared to pasting long written briefs.
Free for Mac: No account, no paid tier — full functionality out of the box.

UI Bug Report to Agent: Record a broken flow, circle the problem, and hand it to Cursor to fix.
Design Review with Coding Agent: Show a Figma-to-code diff on-screen and dictate the required visual tweaks.
Cross-App Debugging: Capture logs in one window and the failing UI in another, then let the agent reason across both.
Refactor Requests: Highlight a specific component in the editor and describe the desired API change verbally.
Onboarding a Junior Agent: Walk through a repo layout on video so Codex has context before making changes.
Privacy-Sensitive Codebases: Prompt an on-device agent about sensitive UIs without any recording leaving the Mac.

Freemium

Scans vibe-coded apps for launch-blocking issues like leaked keys and data exposure, and reports what to fix first, right from your coding agent.

Agent-Native Scanning: Tell Claude Code, Codex, Cursor or other agents to scan with CleanSlop and fix findings where you build.
System-Level Code Mapping: Maps routes, background jobs, data and external services so each finding follows a real call path.
Prioritized Reports: Findings grouped as needs attention, worth a look and minor, worst first.
Evidence for Every Finding: Shows where each issue lives in your code and why it was flagged.
Plain-English Fixes: Explains what is wrong, why it matters and what to do about it.
Copy for LLM: Hands any report to your AI tool so it can apply the fixes.
GitHub App Integration: Scan only the repositories you select, read-only access.
Expert Triage Calls: Book a 15-minute call with a CleanSlop engineer to walk through findings.

A solo founder checks a Next.js and Supabase app built with an AI coding assistant before launching.
A developer discovers an exposed AI API key bundled into browser code and moves it to a server route.
A side-project builder verifies that one user's data cannot be read by another through database policies.
A Claude Code user runs a scan from the terminal and has the agent fix the top findings.
A team lead gets a short prioritized list instead of hundreds of linter warnings.
An indie hacker books an expert triage call to confirm an ambiguous finding.