Use WeasyPrint if text layouts involve massive multi-page stacking. Avoids manual calculation of sub-consonant positioning.
This workflow uses a combination of Python libraries to extract text from a scanned PDF reliably. Step 1: Install Necessary Libraries
# workflow.py # Step 1: Generate the Khmer PDF (using ReportLab) def generate_khmer_pdf(): from reportlab.pdfgen import canvas from reportlab.pdfbase import pdfmetrics from reportlab.pdfbase.ttfonts import TTFont pdfmetrics.registerFont(TTFont('KhmerOS', 'KhmerOS.ttf')) c = canvas.Canvas("python_khmer_report.pdf") c.setFont('KhmerOS', 14) c.drawString(50, 800, "របាយការណ៍ផ្ទៀងផ្ទាត់") # "Verified Report" c.save() print("1. Document generated.") python khmer pdf verified
def verify_pdf_integrity(file_path): try: reader = PdfReader(file_path) # If we can read a page, it's structurally sound page_count = len(reader.pages) # Check metadata metadata = reader.metadata print(f"✅ File is valid. Pages: page_count") print(f"📄 Author: metadata.get('/Author', 'Unknown')") print(f"🔧 Producer: metadata.get('/Producer', 'Unknown')") return True except Exception as e: print(f"❌ Invalid PDF: e") return False
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Before diving into code, we must address a critical issue. Khmer script (ភាសាខ្មែរ) has unique typographical features:
She called her mother in Battambang. “Mom, did grandfather ever mention someone else writing part of his diary?” Step 1: Install Necessary Libraries # workflow
Set leading or line-height to at least 1.5x to 1.8x the font size.