PDF to Podcast Generator

Convert PDF documents into natural-sounding podcast episodes using FastAPI (backend) and Tailwind CSS (frontend). Ideal for learners, researchers, or anyone who prefers listening over reading.

Features

Upload any .pdf file

Extract and clean text

Generate realistic podcast-style audio using Edge TTS

Download the final .mp3 output

Requirements

Python 3.8+, fastapi, uvicorn, python-dotenv, pydub, edge-tts, langchain, langchain-community, FFmpeg (required by pydub for audio processing), Download from: https://ffmpeg.org/download.html

Set FFmpeg paths in your Python code: python from pydub import AudioSegment, utils AudioSegment.converter = r"D:\ffmpeg\bin\ffmpeg.exe" utils.get_prober_name = lambda: r"D:\ffmpeg\bin\ffprobe.exe"

Setup Instructions

1. Create and activate virtual environment bash Copy Edit python -m venv venv

Windows

venv\Scripts\activate

macOS/Linux

source venv/bin/activate 2. Install dependencies bash Copy Edit pip install -r requirements.txt

Example requirements.txt:

fastapi uvicorn python-dotenv pydub edge-tts langchain langchain-community

Running the App

1. Start the FastAPI server bash uvicorn main:app --reload Server runs at: http://127.0.0.1:8000

Launch the frontend Open frontend/index.html in your browser (no server needed).

#How It Works PDF → Text Extraction → Cleaning → Dialogue Creation → TTS → Podcast (MP3) LangChain: PDF parsing

Project Structure

bash Copy Edit

project-root/

├── main.py # FastAPI backend ├── src/ # Processing and generation logic ├── util.py ├── .env ├── frontend/ │ └── index.html # Tailwind-based UI └── requirements.txt

Future Improvements

Multi-voice conversations

Credits

Backend: FastAPI

Voices: Microsoft Edge TTS

UI: Tailwind CSS

Audio: pydub + FFmpeg

Let me know if you’d li