Create app.py

app.py

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+import os
+import fitz  # PyMuPDF for PDF handling
+import easyocr  # OCR for text extraction
+import tempfile
+import streamlit as st
+
+
+def extract_text_with_ocr(pdf_path):
+    """
+    Extract text with bounding box positions using OCR for both English and Arabic text.
+    :param pdf_path: Path to the input PDF file.
+    :return: List of dictionaries containing text and positions for each page.
+    """
+    extracted_data = []
+    doc = fitz.open(pdf_path)
+
+    # Convert each PDF page to an image for OCR processing
+    for page_num in range(len(doc)):
+        page = doc.load_page(page_num)
+        pix = page.get_pixmap(dpi=300)  # Convert PDF page to image
+        image_path = f"temp_page_{page_num}.png"
+        pix.save(image_path)
+
+        # Perform OCR on the image
+        reader = easyocr.Reader(['en'])  # Supports English (add 'ar' for Arabic if needed)
+        results = reader.readtext(image_path, detail=1)  # detail=1 returns bounding box info
+
+        # Extract text and positions
+        page_data = []
+        for (bbox, text, confidence) in results:
+            (x0, y0), (x1, y1) = bbox[0], bbox[2]
+            page_data.append({
+                "text": text,
+                "x0": x0,
+                "y0": y1,  # Adjust to bottom-left corner (PDF coordinates)
+                "font_size": y1 - y0,  # Approximate font size
+                "confidence": confidence
+            })
+
+        extracted_data.append(page_data)
+
+        # Cleanup temporary image
+        os.remove(image_path)
+
+    return extracted_data
+
+
+def overlay_text_with_fonts(pdf_path, extracted_data, output_pdf_path):
+    """
+    Overlay extracted text onto the original PDF using fonts from different font families.
+    :param pdf_path: Path to the input PDF file.
+    :param extracted_data: List of extracted text with positions.
+    :param output_pdf_path: Path to save the output PDF file.
+    """
+    doc = fitz.open(pdf_path)
+
+    # Define default font settings
+    default_font = "Helvetica"  # You can replace it with specific fonts like "Arial" or others.
+
+    for page_num, page_data in enumerate(extracted_data):
+        page = doc[page_num]
+
+        for item in page_data:
+            if item["confidence"] > 0.8:  # Only overlay high-confidence text
+                page.insert_text(
+                    (item["x0"], item["y0"]),
+                    item["text"],
+                    fontsize=item["font_size"],
+                    fontname=default_font,
+                    color=(0, 0, 0),  # Black text
+                    render_mode=0  # Ensure text is not outlined
+                )
+
+    doc.save(output_pdf_path)
+    print(f"PDF saved to: {output_pdf_path}")
+
+
+def process_pdf(uploaded_pdf, output_pdf_path):
+    """
+    Process the uploaded PDF to extract text using OCR and overlay it as editable text.
+    :param uploaded_pdf: The uploaded PDF file.
+    :param output_pdf_path: Path to save the output PDF file.
+    """
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as temp_pdf:
+        temp_pdf.write(uploaded_pdf.read())
+        temp_pdf_path = temp_pdf.name
+
+    # Step 1: Extract text using OCR
+    extracted_data = extract_text_with_ocr(temp_pdf_path)
+
+    # Step 2: Overlay extracted text onto the original PDF
+    overlay_text_with_fonts(temp_pdf_path, extracted_data, output_pdf_path)
+
+    # Cleanup temporary file
+    if os.path.exists(temp_pdf_path):
+        os.remove(temp_pdf_path)
+
+
+# Streamlit App
+def main():
+    st.title("PDF Text Conversion Tool")
+    st.write("Upload a PDF to convert vector text into regular, editable text.")
+
+    uploaded_file = st.file_uploader("Upload PDF", type=["pdf"])
+    if uploaded_file:
+        output_pdf_path = "converted_output.pdf"
+
+        with st.spinner("Processing your PDF..."):
+            process_pdf(uploaded_file, output_pdf_path)
+
+        st.success("PDF processing complete!")
+
+        # Provide a download button for the processed PDF
+        with open(output_pdf_path, "rb") as f:
+            st.download_button(
+                label="Download Converted PDF",
+                data=f,
+                file_name="converted_output.pdf",
+                mime="application/pdf"
+            )
+
+        # Cleanup the processed output PDF
+        if os.path.exists(output_pdf_path):
+            os.remove(output_pdf_path)
+
+
+if __name__ == "__main__":
+    main()