Scrinly
Screenshot API built for AI agents, with segmented regions, visual diffs, and design-system extraction.
🔗 Visit Scrinly
Description
AI agents that browse the web or QA teams that test websites both run into the same problem: a full-page screenshot is one giant image, hard for either a human or an AI model to actually reason about. Scrinly solves that by breaking a webpage screenshot into clean, labeled visual sections instead of one flat image.
Scrinly is a screenshot API purpose-built for AI agents and automated testing, offering pixel-accurate capture across devices and viewports, deterministic region segmentation, visual diff detection with overlay, heatmap, and mask views, design-system extraction covering colors, typography, spacing, and motion, and scheduled monitoring with incident alerts. It integrates via MCP for AI agent workflows with OAuth scoping. Freemium: 100 free credits per month, paid plans from $29 to $499 per month.
💬 Our review
The short version: Scrinly is a paid API targeting a real gap, screenshots that AI agents and visual-regression tools can actually parse, and the free tier is generous enough to test it before committing.
General screenshot APIs like urlbox.io, ScreenshotOne, or Browserless can capture pages too, but they weren't built with AI-agent consumption or design-system extraction in mind, Scrinly's region segmentation and MCP integration are the differentiators. Pricing from $29 to $499 a month is in line with the rest of this category, so the real question is whether you need the AI or visual-diff-specific features; if you just need a plain screenshot, cheaper generic APIs exist. For teams building agentic QA or visual regression pipelines specifically, the specialization is worth paying for; for a one-off screenshot need, it's overkill.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Offre gratuite (100 crédits/mois) ; plans payants de 29$ à 499$/mois
Pros
Capture précise au pixel avec segmentation en régions structurées
Détection de différences visuelles (overlay, heatmap, masque)
Extraction de design system (couleurs, typographie, espacement)
Intégration MCP pour agents IA
Offre gratuite disponible pour tester avant de payer
Cons
Plans payants nécessaires pour un vrai volume d'usage
Plus spécialisé/étroit que les API de screenshot génériques
Acteur plus récent face aux fournisseurs établis