Structured screen understanding for AI apps. Replace screenshots with instant, accurate UI data.
Project description
glance-sdk
Structured screen understanding for AI apps. glance.run
Replace expensive screenshot-to-vision-model pipelines with one function call. Glance reads the macOS accessibility tree and gives your AI structured data about every UI element — role, label, value, and exact pixel coordinates.
Install
pip install glance-sdk
Usage
from glance_sdk import screen, capture, find, check_access
# LLM-ready text — drop directly into your prompt
context = screen()
# Full structured data
state = capture()
print(state["app"]) # "VS Code"
print(state["elementCount"]) # 342
print(state["captureTimeMs"]) # 28.5
# Find element by name → exact coordinates
btn = find("Submit")
print(btn["centerX"], btn["centerY"]) # 520, 340
# Check accessibility permission
has_access = check_access()
Why
| Screenshot | Glance | |
|---|---|---|
| Speed | 2-5 seconds | ~0.8 seconds |
| Tokens | ~3,000 (image) | ~500 (text) |
| Cost | ~$0.03 / call | ~$0.001 / call |
| Positions | AI guesses | Exact from OS |
Requirements
- macOS 14.2+
- Accessibility permission (System Settings -> Privacy & Security -> Accessibility)
License
MIT
Project details
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