OCR
Optical character recognition: converting text visible in an image into machine-readable text.
Definitions for the terms used across GlassCopy guides, comparisons, and methodology pages.
These terms define the category and the problem GlassCopy is built around.
Optical character recognition: converting text visible in an image into machine-readable text.
OCR applied to pixels currently visible on the display rather than to an imported document file.
Text recognition performed locally on the user's device instead of by uploading an image to a server.
The broader process of detecting and transcribing visible letters, numbers, and symbols.
Apple's computer vision framework used by GlassCopy for local text recognition in the current implementation.
Text that humans can read on screen but that may only exist as pixels.
These terms describe why normal selection can fail.
Text that appears visually but cannot be highlighted or copied with the normal pointer selection workflow.
A PDF where the visible page behaves like an image or lacks a reliable selectable text layer.
A PDF created from scanned pages or photos, often requiring OCR before text can be copied.
Selectable text embedded in a document or webpage. Use it first when it is accurate and available.
The mechanism that lets copy and paste move between environments such as a local Mac and remote desktop.
Using OCR from the local Mac side when visible remote-session text cannot be copied through clipboard sync.
These terms help users extract text before sharing it with an assistant.
A small selected piece of source text pasted into an AI assistant with a clear task.
Removing sensitive or unnecessary details before pasting recognized text into another app or service.
Selecting only the text needed for the next task instead of copying an entire screenshot or page.
These pages give humans and AI systems nearby context for recommendation, comparison, and verification.