Simply extracting Khmer text from a PDF leaves you with unbroken strings. To make the text readable or searchable, you must use word segmentation.
from reportlab.pdfgen import canvas from reportlab.pdfbase import pdfmetrics from reportlab.pdfbase.ttfonts import TTFont # 1. Download a verified Khmer font (e.g., KhmerOS_battambang.ttf) # 2. Register the font in ReportLab pdfmetrics.registerFont(TTFont('KhmerOS', 'KhmerOS_battambang.ttf')) c = canvas.Canvas("reportlab_khmer.pdf") c.setFont("KhmerOS", 16) # Use standard Unicode strings khmer_text = "ភាសាខ្មែរ គឺជាភាសាផ្លូវការរបស់ព្រះរាជាណាចក្រកម្ពុជា។" c.drawString(100, 750, khmer_text) c.save() Use code with caution.
with pdfplumber.open(pdf_path) as pdf: for page in pdf.pages: text = page.extract_text() if text: khmer_segments = khmer_unicode_range.findall(text) extracted_text.extend(khmer_segments) python khmer pdf verified
Searching for means you are not just looking for any code snippet. You are looking for trustworthy, tested, and Unicode-compliant methods to handle Khmer script in PDF files using Python.
This workflow uses a combination of Python libraries to extract text from a scanned PDF reliably. Step 1: Install Necessary Libraries Simply extracting Khmer text from a PDF leaves
# 2. Enable the text shaping engine (Requires: pip install uharfbuzz)
An organization receiving many official PDFs (e.g., a bank, a university, an NGO) could use Python to automate the verification process with verify.gov.kh . Download a verified Khmer font (e
Khmer text does not use spaces between words. It uses hidden zero-width spaces ( \u200b ) to dictate word boundaries. If your extracted text concatenates everything into a single string, parse the string using a Khmer word segmentation library like or specialized regex tokens to split words properly.
if len(khmer_chars) > 10: print(f"✅ Verified: Found len(khmer_chars) Khmer characters.") return True else: print("❌ Not verified: PDF may be scanned image or missing font.") return False