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SlimSnap

Updated July 24, 2026

Overview / Description

SlimSnap is an AI developer tool that converts a screenshot plus your annotation into structured JSON so coding agents can reliably tell which UI element you mean. Instead of passing a raw screenshot to a model that has to guess at a pixel blob, SlimSnap labels every element with coordinates and an ID, then resolves your arrow or annotation to a specific element. According to its own benchmark, the structured output runs around 700 tokens versus 1,568 tokens for the raw image on Claude Sonnet, which lowers cost and ambiguity when an agent acts on a screen. It ships as a free Mac app and runs entirely on-device, so screenshots are not sent to a server for processing. The JSON schema and an accompanying Claude Code skill are open-sourced under the MIT license, making it straightforward to plug into an existing agent workflow. SlimSnap is aimed at developers using AI coding agents who need precise, low-token references to on-screen elements rather than vague visual descriptions.

Used For

Turning screenshots into structured JSON so AI coding agents target the right UI element

Pricing

Free

Free

Mac app

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Open source

Free

schema and Claude Code skill under MIT license

View pricing

Pros & Cons

Pros

  • Converts screenshots into element-level JSON with coordinates and IDs
  • Roughly 700 tokens vs 1,568 for the raw image on Claude Sonnet (per its benchmark)
  • Runs entirely on-device — screenshots aren't sent to a server
  • Schema and Claude Code skill are open-source under the MIT license
  • Free Mac app

Cons

  • Mac-only app at launch
  • Built around AI coding-agent workflows, so limited use outside that context
  • Token-savings figures come from the maker's own benchmark

Questions & Answers

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SlimSnap | AI Tools Directory