Python Khmer Pdf Instant

Use weasyprint or xhtml2pdf with HTML/CSS that already handles Khmer shaping. 2. Extracting Text from Khmer PDFs Using PyMuPDF (fitz) PyMuPDF handles Khmer Unicode extraction well.

import fitz # PyMuPDF doc = fitz.open("khmer_document.pdf") for page in doc: text = page.get_text() print(text) pdfplumber extracts text while preserving layout, good for Khmer.

with open(data_yaml, 'r', encoding='utf-8') as f: content = yaml.safe_load(f)

y = 800 for key, value in content.items(): c.drawString(50, y, f"key: value") y -= 20 python khmer pdf

from fpdf import FPDF pdf = FPDF() pdf.add_page() pdf.add_font('khmer', '', 'KhmerOS.ttf', uni=True) pdf.set_font('khmer', size=12) pdf.cell(0, 10, txt="ជំរាបសួរ", ln=1) pdf.output("fpdf_khmer.pdf")

c = canvas.Canvas("khmer_sample.pdf", pagesize=A4) c.setFont('KhmerFont', 14) c.drawString(100, 750, "សួស្តីពិភពលោក") # "Hello World" in Khmer c.save() ⚠️ Ensure the TrueType font supports Khmer and is placed in your working directory. fpdf2 can embed Unicode fonts, but complex scripts like Khmer often break due to lack of proper shaping.

pangocairo_context.update_layout(layout) pangocairo_context.show_layout(layout) surface.finish() For scanned Khmer PDFs, convert to images then use Tesseract with Khmer language pack. Use weasyprint or xhtml2pdf with HTML/CSS that already

Example using cairo and Pango (Linux/macOS):

layout = pangocairo_context.create_layout() layout.set_text("កម្ពុជា") layout.set_font_description(pango.FontDescription("Khmer OS 12"))

with open("data.yaml", "w", encoding="utf-8") as f: yaml.dump(data, f, allow_unicode=True) import fitz # PyMuPDF doc = fitz

create_khmer_report("data.yaml", "report.pdf") This guide gives you a complete foundation for handling tasks — from creation and extraction to rendering and OCR. Always test with real Khmer text and use fonts that support the full Unicode range for Khmer (U+1780 to U+17FF, plus U+19E0–U+19FF).

import cairo import pangocairo surface = cairo.PDFSurface("shaped_khmer.pdf", 200, 100) context = cairo.Context(surface) pangocairo_context = pangocairo.CairoContext(context) pangocairo_context.set_antialias(cairo.ANTIALIAS_SUBPIXEL)

c.save() data = "ចំណងជើង": "របាយការណ៍ប្រចាំឆ្នាំ", "កាលបរិច្ឆេទ": "២០២៥-០៣-០១"

import pdfplumber with pdfplumber.open("khmer_document.pdf") as pdf: for page in pdf.pages: text = page.extract_text() print(text) Works for basic extraction but may fail with complex Khmer glyph order.