Python Khmer Pdf - Verified [updated]

from pdfminer.high_level import extract_text text = extract_text("khmer_document.pdf", codec='utf-8') print(text.strip())

with open("merged_verified_khmer.pdf", "wb") as out_file: writer.write(out_file) Verification status: ✅ Verified (requires Khmer trained data) python khmer pdf verified

c = canvas.Canvas("verified_khmer_output.pdf") c.setFont('KhmerFont', 14) c.drawString(50, 750, "សួស្តី! នេះជាឯកសារ PDF ដែលបានផ្ទៀងផ្ទាត់។") c.save() 3. pypdf (For Merging/Manipulating) Verification status: ✅ Verified (preserves Khmer text layer) from pdfminer

# In reportlab - this forces the font into the PDF pdfmetrics.registerFont(TTFont('KhmerOS', 'KhmerOS.ttf')) Cause: The PDF was generated without proper shaping. Verified Fix: Use pymupdf (fitz) which has better Khmer reshaping support. Verified Fix: Use pymupdf (fitz) which has better

If the PDF has no text layer (scanned image), you need OCR (see section 4). 2. reportlab (For Generating Khmer PDFs) Verification status: ✅ Verified (with TTF embedding)

from pdf2image import convert_from_path import pytesseract pages = convert_from_path('scanned_khmer_document.pdf', 300)

To extract Khmer text from an existing PDF, pdfminer.six is the most reliable. However, you must bypass its default fallback fonts.