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Unselectable Text Extraction (Deep OCR)

Coral AI's `extract_text_vision` tool performs real-time OCR on any screen region.

Core Architecture

How It Works Under The Hood

The Unselectable Text Extraction (Deep OCR) module is built on a highly optimized C++ and Python bridge. By bypassing standard Windows UI restrictions, Coral AI directly interfaces with system memory, native Win32 APIs, and DOM structures to achieve near-zero latency execution.

Bypass Protected UIs

Extract text from DRM-protected PDFs, flash-based sites, or video frames.

Clipboard Auto-Inject

The extracted text is instantly formatted and copied to your Windows clipboard.

Handwriting Recognition

Reads messy handwritten scanned notes displayed on your screen.

Code Extraction

Pulls syntax-highlighted code from video tutorials and formats it perfectly as text.

Diagnostics

Execution Trace

~ > coral execute --module unselectable-text-extraction --verbose
0.00ms [INFO] Initializing C++ memory hooks... OK
2.14ms [INFO] Bypassing UI thread restrictions... OK
5.89ms [INFO] Allocating vector buffer for LLM context...
8.22ms [WARN] Elevating privileges to Admin ring...
14.01ms >>> Execution payload delivered successfully.

Technical Specs

  • Latency< 15ms
  • RuntimeC++ / Py 3.11
  • PrivilegeRing 3 / Admin
  • Offline ModeRequires Internet

Agentic Integration

This module does not operate in isolation. It is dynamically invoked by the Coral PlannerAgent via JSON-RPC, allowing it to be chained endlessly with vision and memory modules.