Analyze this document image and provide a comprehensive profile for adaptive extraction.

TASK: Learn the document's structure, typography, colors, and layout patterns.
This analysis will be used to generate a document-specific extraction prompt.

OUTPUT JSON FORMAT:
{
  "document_profile": {
    "document_type": "certificate|form|report|invoice|letter|contract|id_card|receipt|statement|other",
    "document_subtype": "specific description (e.g., 'police clearance certificate', 'business registration form')",
    "confidence": 0.0-1.0,

    "layout_analysis": {
      "orientation": "portrait|landscape",
      "column_count": 1-4,
      "has_header": true|false,
      "has_footer": true|false,
      "has_sidebar": true|false,
      "primary_layout_pattern": "single_column|two_column|three_column|form_grid|table_heavy|mixed"
    },

    "region_definitions": {
      "header_zone": {
        "y_start": 0.0,
        "y_end": 0.0-1.0,
        "contains": ["list of content types: logo, organization_name, title, etc."]
      },
      "body_zone": {
        "y_start": 0.0-1.0,
        "y_end": 0.0-1.0,
        "primary_content": "description of main content"
      },
      "footer_zone": {
        "y_start": 0.0-1.0,
        "y_end": 1.0,
        "contains": ["page_number", "date", "qr_code", etc.]
      }
    },

    "typography_profile": {
      "font_families_detected": ["serif", "sans-serif", "monospace"],
      "size_distribution": {
        "xlarge": {"pixel_range": [min, max], "relative_to_body": 1.5-2.0},
        "large": {"pixel_range": [min, max], "relative_to_body": 1.2-1.5},
        "normal": {"pixel_range": [min, max], "relative_to_body": 1.0},
        "small": {"pixel_range": [min, max], "relative_to_body": 0.7-0.9}
      },
      "default_line_spacing": 1.0-2.0
    },

    "color_palette": {
      "dominant_colors": ["#RRGGBB", ...],
      "accent_colors": ["#RRGGBB", ...],
      "background_colors": ["#RRGGBB", ...],
      "border_color": "#RRGGBB|none"
    },

    "table_analysis": {
      "has_tables": true|false,
      "table_count": 0-N,
      "table_styles": [
        {
          "type": "bordered|borderless|partial",
          "border_color": "#RRGGBB",
          "header_style": "bold|background|both|none",
          "column_ratio": [0.3, 0.05, 0.65],
          "has_alternating_rows": true|false
        }
      ]
    },

    "visual_elements": {
      "logos": [{"position": "top-left|top-center|top-right", "approximate_size": "small|medium|large"}],
      "photos": [{"position": "...", "approximate_size": "passport|medium|large"}],
      "qr_codes": [{"position": "bottom-right|..."}],
      "signatures": [{"position": "..."}],
      "stamps": [{"position": "..."}],
      "barcodes": [{"position": "..."}]
    },

    "spacing_analysis": {
      "paragraph_spacing": "tight|normal|loose",
      "section_spacing": "minimal|standard|generous",
      "margin_style": "narrow|normal|wide"
    }
  }
}

ANALYSIS INSTRUCTIONS:

1. DOCUMENT TYPE DETECTION:
   - Examine overall structure, logos, titles, and content
   - Certificate: official documents, clearances, licenses
   - Form: structured fields with labels and values
   - Report: narrative text with sections
   - Invoice: billing information, line items
   - Letter: correspondence format
   - Contract: legal document with clauses
   - ID Card: identification document
   - Receipt: transaction record
   - Statement: account summary

2. ZONE BOUNDARY DETECTION:
   - Header: Look for logos, organization names, document titles at TOP
   - Footer: Look for page numbers, dates, QR codes, URLs at BOTTOM
   - Measure ACTUAL boundaries as percentages (0.0 to 1.0) of page height
   - Do NOT use default values - measure from the actual content

3. TYPOGRAPHY ANALYSIS:
   - Identify font size categories by measuring actual text heights
   - Calculate relative sizes compared to body text (normal = 1.0)
   - Note: pixel_range should reflect actual measured heights

4. COLOR EXTRACTION:
   - Identify dominant text colors (usually black)
   - Identify accent colors used for highlights, links, headers
   - Identify background colors (page and element backgrounds)
   - Identify border colors used in tables or frames

5. TABLE STRUCTURE:
   - Count tables and identify their styles
   - Measure actual column ratios from content positions
   - Note if tables have visible borders, headers, alternating rows

6. VISUAL ELEMENTS:
   - Locate logos, photos, signatures, stamps, QR codes, barcodes
   - Record position (e.g., "top-left", "body-right", "bottom-center")
   - Estimate size (small, medium, large, or specific like "passport")

7. SPACING PATTERNS:
   - Observe paragraph gaps, section breaks, margins
   - Classify as tight/normal/loose based on visual density

IMPORTANT:
- Measure actual values from the document, do NOT use generic defaults
- All percentages are relative to page dimensions (0.0 = top/left, 1.0 = bottom/right)
- Column ratios should sum to approximately 1.0
- If uncertain about a value, provide your best estimate with lower confidence