AI screenshot analysis takes a screenshot image, identifies the important resource inside it, and returns structured data such as type, title, URL, tags, and metadata.
Screenshots are messy. They contain app chrome, usernames, nav bars, comments, timestamps, and partial text. AI screenshot analysis tries to separate the primary thing you saved from everything around it.
For productivity apps, the goal is not just OCR. The useful output is a resource record: a GitHub repo, article, post, event, invoice, place, contact, todo, product, or travel booking with the right metadata attached.
In SnapAction, scanned screenshots are sent to a Convex-backed AI agent through OpenRouter. When a URL is not visible, the backend can use Serper search and verification to recover the canonical link.
Input: Screenshot of a GitHub page, tweet, or article mentioning user/awesome-tool
Analysis:
Result: A searchable card with an Open action instead of a dead screenshot.
SnapAction scans screenshots selected from Photos and uses its backend to extract typed resources. The output is saved locally with SwiftData and can power actions like Open URL, Get Directions, Call, Email, Add to Calendar, or Copy Booking Reference.
Because scanned screenshots are sent for analysis, SnapAction should not be described as fully on-device or offline-only.
Join the TestFlight beta and turn a screenshot into a resource card.
Try 30 free scans