neo-vision

See the web the way Neo sees the Matrix.

Give your AI agent a pixel-precise JSON map of every element on a page — coordinates, ARIA roles, accessible labels, and actionability flags — without screenshots, without brittle CSS selectors, without getting blocked by anti-bot systems.

AI agents navigating the web today are stuck between two bad options:

1. CSS selectors / XPath — break the moment a developer renames a class or ships a redesign
2. Vision models on screenshots — hallucinate coordinates, struggle with dense UIs, cost a fortune in tokens

Meanwhile, anti-bot systems block headless browsers on sight. So even if you solve the navigation problem, you can't get past the front door of sites like Yelp, LinkedIn, or Zillow.

NeoVision asks the browser's own layout engine where everything is — because it already knows. Like Neo seeing through the green code to perceive the real world, NeoVision reads the raw DOM but gives your agent a spatial map with ground-truth pixel coordinates, straight from the rendering engine.

{
  "tag": "button",
  "role": "button",
  "label": "Sign in",
  "bounds": { "x": 305, "y": 510, "width": 74, "height": 36 },
  "click_center": { "x": 342, "y": 528 },
  "actionable": true
}

No guessing. No hallucination. No selector that breaks tomorrow.

The built-in stealth layer patches every major bot-detection vector (navigator.webdriver, WebGL fingerprint, plugin enumeration, permissions API) and the attach mode lets you drive the user's real Chrome — with real cookies, real fingerprint, real browsing history. Anti-bot systems see a real user because it _is_ a real browser.

We tested this against the five most notoriously anti-bot sites on the web — Ticketmaster, Nike, LinkedIn, Instagram, and Amazon — plus Discord (Cloudflare). All six returned full page content with zero CAPTCHAs, zero bot walls, and zero detection signals. [Full test re