If you want to customize this pipeline further, please let me know:
def verify_checksum(file_path, expected_md5): md5_hash = hashlib.md5() with open(file_path, "rb") as f: for chunk in iter(lambda: f.read(4096), b""): md5_hash.update(chunk) return md5_hash.hexdigest() == expected_md5
pip install pypdf2 pdfplumber pytesseract pillow pandas khmer-nltk
Even when a file claims to be verified, follow these 5 steps to confirm:
Example test string (copy into a PDF for verification):
from reportlab.lib.pagesizes import letter from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.pdfbase import pdfmetrics from reportlab.pdfbase.ttfonts import TTFont def create_khmer_pdf(filename, output_text): # 1. Register a verified Khmer Unicode font # Ensure the .ttf file is in your project directory pdfmetrics.registerFont(TTFont('KhmerOS', 'KhmerOS_battambang.ttf')) # 2. Setup document doc = SimpleDocTemplate(filename, pagesize=letter) story = [] # 3. Create a style that explicitly uses the Khmer font styles = getSampleStyleSheet() khmer_style = ParagraphStyle( 'KhmerNormal', parent=styles['Normal'], fontName='KhmerOS', fontSize=12, leading=18 # Extra leading helps accommodate vertical Khmer sub-scripts ) # 4. Build content story.append(Paragraph(output_text, khmer_style)) story.append(Spacer(1, 12)) # 5. Save PDF doc.build(story) # Sample verified Khmer text khmer_content = "សួស្តីពិភពលោក! នេះគឺជាឯកសារ PDF ដែលបានបង្កើតឡើងដោយប្រើប្រាស់ភាសា Python។" create_khmer_pdf("khmer_verified.pdf", khmer_content) Use code with caution. 2. Extracting Khmer Text from PDFs
If you want to customize this pipeline further, please let me know:
def verify_checksum(file_path, expected_md5): md5_hash = hashlib.md5() with open(file_path, "rb") as f: for chunk in iter(lambda: f.read(4096), b""): md5_hash.update(chunk) return md5_hash.hexdigest() == expected_md5 python khmer pdf verified
pip install pypdf2 pdfplumber pytesseract pillow pandas khmer-nltk If you want to customize this pipeline further,
Even when a file claims to be verified, follow these 5 steps to confirm: Create a style that explicitly uses the Khmer
Example test string (copy into a PDF for verification):
from reportlab.lib.pagesizes import letter from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.pdfbase import pdfmetrics from reportlab.pdfbase.ttfonts import TTFont def create_khmer_pdf(filename, output_text): # 1. Register a verified Khmer Unicode font # Ensure the .ttf file is in your project directory pdfmetrics.registerFont(TTFont('KhmerOS', 'KhmerOS_battambang.ttf')) # 2. Setup document doc = SimpleDocTemplate(filename, pagesize=letter) story = [] # 3. Create a style that explicitly uses the Khmer font styles = getSampleStyleSheet() khmer_style = ParagraphStyle( 'KhmerNormal', parent=styles['Normal'], fontName='KhmerOS', fontSize=12, leading=18 # Extra leading helps accommodate vertical Khmer sub-scripts ) # 4. Build content story.append(Paragraph(output_text, khmer_style)) story.append(Spacer(1, 12)) # 5. Save PDF doc.build(story) # Sample verified Khmer text khmer_content = "សួស្តីពិភពលោក! នេះគឺជាឯកសារ PDF ដែលបានបង្កើតឡើងដោយប្រើប្រាស់ភាសា Python។" create_khmer_pdf("khmer_verified.pdf", khmer_content) Use code with caution. 2. Extracting Khmer Text from PDFs