diff --git a/pdfaudio.py b/pdfaudio.py
new file mode 100644
index 0000000..6dc0085
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+++ b/pdfaudio.py
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+import fitz  # PyMuPDF
+import subprocess
+import os
+
+# Function to extract TOC and split PDF into text by chapter
+def extract_toc_and_text(pdf_file):
+    # Open the PDF
+    pdf = fitz.open(pdf_file)
+
+    # Extract Table of Contents
+    toc = pdf.get_toc()
+    
+    chapters = []
+    for i, entry in enumerate(toc):
+        chapter_title = entry[1]
+        start_page = entry[2] - 1  # Page numbers in PyMuPDF are 0-based
+        end_page = toc[i+1][2] - 2 if i+1 < len(toc) else pdf.page_count - 1
+
+        chapter_text = ""
+        for page_num in range(start_page, end_page + 1):
+            page = pdf.load_page(page_num)
+            chapter_text += page.get_text()
+
+        chapters.append((chapter_title, chapter_text))
+    
+    return chapters
+
+# Function to convert text to speech using TTS
+def text_to_speech(text, output_file):
+    tts_command = ["tts", "--text", text, "--out_path", output_file]
+    subprocess.run(tts_command)
+
+# Function to create chapter metadata
+def create_chapters_metadata(chapters):
+    with open("chapters.txt", "w") as chapter_file:
+        time_in_seconds = 0
+        for i, chapter in enumerate(chapters):
+            chapter_file.write(f"CHAPTER{i+1:02}={time_in_seconds // 3600:02}:{(time_in_seconds % 3600) // 60:02}:{time_in_seconds % 60:02}.000\n")
+            chapter_file.write(f"CHAPTER{i+1:02}NAME={chapter[0]}\n")
+            # Adjust this duration based on average length of each chapter (for example, 10 minutes)
+            time_in_seconds += 600  # Adjust per chapter length
+
+# Function to merge audio files and apply chapter metadata
+def merge_audio_with_chapters(chapter_files):
+    # First, concatenate all chapter audio files
+    with open("filelist.txt", "w") as f:
+        for chapter_file in chapter_files:
+            f.write(f"file '{chapter_file}'\n")
+    
+    # Merge files using ffmpeg
+    subprocess.run(["ffmpeg", "-f", "concat", "-safe", "0", "-i", "filelist.txt", "-c", "copy", "audiobook.mp3"])
+
+    # Apply chapters metadata
+    subprocess.run(["ffmpeg", "-i", "audiobook.mp3", "-i", "chapters.txt", "-map_metadata", "1", "-codec", "copy", "audiobook_with_chapters.mp3"])
+
+# Main function to run the whole process
+def process_pdf_to_audiobook(pdf_file):
+    # Step 1: Extract TOC and Text
+    chapters = extract_toc_and_text(pdf_file)
+
+    # Step 2: Convert text to speech for each chapter
+    chapter_audio_files = []
+    for i, (chapter_title, chapter_text) in enumerate(chapters):
+        chapter_audio_file = f"chapter_{i+1}.wav"
+        text_to_speech(chapter_text, chapter_audio_file)
+        chapter_audio_files.append(chapter_audio_file)
+
+    # Step 3: Create chapters metadata
+    create_chapters_metadata(chapters)
+
+    # Step 4: Merge audio files and add chapters
+    merge_audio_with_chapters(chapter_audio_files)
+
+# Example usage
+pdf_file = "yourfile.pdf"
+process_pdf_to_audiobook(pdf_file)
+
+# Clean up temporary files (optional)
+for file in os.listdir():
+    if file.startswith("chapter_") or file == "filelist.txt" or file == "chapters.txt":
+        os.remove(file)