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Run low-power local screen OCR and UI detection on inaccessible displays.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "npu-vision-fallback" yet — see the docs or source repo.
Use npu-vision-fallback to analyze the current remote desktop screen, detect clickable buttons, input fields, and main text, and list their positions and labels by screen region.
A list of UI elements on the remote desktop, including text, control type, and approximate position.
Use npu-vision-fallback to run OCR on the current game screen, extract quest hints, menu text, and status information, and organize them into a structured summary.
Recognized text from the game UI with a categorized summary for downstream automation.
Call npu-vision-fallback to detect key controls and text on the current app screen, determine whether the login page has fully loaded, and identify missing or abnormal elements.
A page load status assessment and detection results showing whether key controls are present.
Analyze screenshots, run OCR, and monitor vision workflows with local Ollama models.
Capture app or webpage screenshots and analyze them with a local vision model.
Enable non-vision AI clients to analyze images with local Ollama vision models.
Enable vision-less LLMs to understand screenshots and images through a vision proxy.
Let AI agents discover macOS windows and capture screenshots for UI debugging.
Capture screens, extract text, and automate clicks on macOS interfaces.