Add OCR'd research paper and multi-frontend architecture to roadmap

Co-authored-by: johndoe6345789 <224850594+johndoe6345789@users.noreply.github.com>

scripts/ocr_pages.py

@@ -0,0 +1,60 @@
+#!/usr/bin/env python3
+"""Extract text from page images using OCR and save as a markdown document."""
+
+from pathlib import Path
+import pytesseract
+from PIL import Image
+
+def ocr_pages(pages_dir: Path, output_file: Path) -> None:
+    """Perform OCR on all page images and create a single document."""
+    
+    pages_dir = pages_dir.resolve()
+    if not pages_dir.exists():
+        raise FileNotFoundError(f"Pages directory not found: {pages_dir}")
+    
+    # Get all PNG files sorted by number
+    image_files = sorted(
+        pages_dir.glob("*.png"),
+        key=lambda p: int(p.stem.split("_")[-1])
+    )
+    
+    if not image_files:
+        raise ValueError(f"No PNG files found in {pages_dir}")
+    
+    print(f"Found {len(image_files)} page images to process...")
+    
+    full_text = []
+    full_text.append("# WizardMerge Research Paper\n")
+    full_text.append("*Extracted via OCR from paper pages*\n\n")
+    full_text.append("---\n\n")
+    
+    for idx, image_file in enumerate(image_files, start=1):
+        print(f"Processing page {idx}/{len(image_files)}: {image_file.name}")
+        
+        try:
+            # Open image and perform OCR
+            img = Image.open(image_file)
+            text = pytesseract.image_to_string(img)
+            
+            # Add page separator and text
+            full_text.append(f"## Page {idx}\n\n")
+            full_text.append(text.strip())
+            full_text.append("\n\n---\n\n")
+            
+        except Exception as e:
+            print(f"  Error processing {image_file.name}: {e}")
+            full_text.append(f"## Page {idx}\n\n")
+            full_text.append(f"*[OCR Error: {e}]*\n\n")
+            full_text.append("---\n\n")
+    
+    # Write output
+    output_file.write_text("".join(full_text))
+    print(f"\nOCR complete! Output written to: {output_file}")
+    print(f"Total pages processed: {len(image_files)}")
+
+
+if __name__ == "__main__":
+    pages_dir = Path(__file__).parent.parent / "docs" / "pages"
+    output_file = Path(__file__).parent.parent / "docs" / "PAPER.md"
+    
+    ocr_pages(pages_dir, output_file)