From the above-mentioned article, convert the management into points for better understanding, & Don't make any changes, keep it as it is in the article
python3 -c " import pdfplumber with pdfplumber.open('/home/daytona/workspace/attachments/cdd2871c-a170-49fd-9f42-4c6ca89b9cfc/HHS.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() if text: print(f'--- PAGE {i+1} ---') print(text) "
python3 -c " from pypdf import PdfReader reader = PdfReader('/home/daytona/workspace/attachments/cdd2871c-a170-49fd-9f42-4c6ca89b9cfc/HHS.pdf') print(f'Pages: {len(reader.pages)}') for i, page in enumerate(reader.pages): text = page.extract_text() print(f'--- PAGE {i+1} ---') print(repr(text)) "
python3 -c " import fitz # PyMuPDF doc = fitz.open('/home/daytona/workspace/attachments/cdd2871c-a170-49fd-9f42-4c6ca89b9cfc/HHS.pdf') page = doc[0] mat = fitz.Matrix(3, 3) # 3x zoom for high resolution pix = page.get_pixmap(matrix=mat) pix.save('/home/daytona/workspace/attachments/HHS_page.png') print('Saved to /home/daytona/workspace/attachments/HHS_page.png') print(f'Image size: {pix.width}x{pix.height}') "
pdftoppm -r 300 -png /home/daytona/workspace/attachments/cdd2871c-a170-49fd-9f42-4c6ca89b9cfc/HHS.pdf /home/daytona/workspace/attachments/HHS_page && ls /home/daytona/workspace/attachments/HHS_page*
# Serve the image via a simple HTTP server temporarily, or use pdfplumber with more aggressive extraction # Try pdfplumber to get ALL text including from inside boxes/shapes python3 -c " import pdfplumber with pdfplumber.open('/home/daytona/workspace/attachments/cdd2871c-a170-49fd-9f42-4c6ca89b9cfc/HHS.pdf') as pdf: page = pdf.pages[0] # Get all words words = page.extract_words() print('ALL WORDS:') for w in words: print(w) "
# Compress image and encode as base64 to work around size limit python3 -c " from PIL import Image import base64, io img = Image.open('/home/daytona/workspace/attachments/HHS_page-1.png') print(f'Original size: {img.size}') # Resize to smaller for analysis img_resized = img.resize((1200, int(img.height * 1200 / img.width)), Image.LANCZOS) print(f'Resized: {img_resized.size}') img_resized.save('/home/daytona/workspace/attachments/HHS_small.jpg', 'JPEG', quality=85) print('Saved as JPEG') "
# Start a simple HTTP server to serve the image cd /home/daytona/workspace/attachments && python3 -m http.server 8765 & sleep 1 echo "Server started" curl -s -I http://localhost:8765/HHS_small.jpg | head -5
python3 -m http.server 8765 --directory /home/daytona/workspace/attachments & echo $!
nohup python3 -m http.server 8765 --directory /home/daytona/workspace/attachments > /tmp/server.log 2>&1 & echo "PID: $!"
# Try OCR to extract text from the image (which contains the flowchart boxes) python3 -c " try: import pytesseract from PIL import Image img = Image.open('/home/daytona/workspace/attachments/HHS_page-1.png') text = pytesseract.image_to_string(img) print(text) except ImportError: print('pytesseract not available') "