PDF-to-audio conversion tool
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This project converts PDF documents into audio content such as podcasts, lectures, or summaries, targeting users who need to consume or repurpose document information audibly. It leverages OpenAI's GPT models for text processing and speech synthesis, offering customization and iterative refinement of the generated audio.
How It Works
The system processes uploaded PDF files, extracts text, and then utilizes OpenAI's GPT models to generate content based on user-selected templates (e.g., podcast, lecture, summary). Users can further refine the generated transcript through iterative feedback and edits before text-to-speech conversion. This approach allows for flexible content creation and personalized audio output.
Quick Start & Requirements
conda create -n pdf2audio python=3.9
, conda activate pdf2audio
), and install dependencies (pip install -r requirements.txt
)..env
file as OPENAI_API_KEY=your_api_key_here
).python app.py
to launch the Gradio interface.Highlighted Details
Maintenance & Community
This project is inspired by and based on code from knowsuchagency/pdf-to-podcast
and knowsuchagency/promptic
. No specific community channels or active maintenance signals are detailed in the README.
Licensing & Compatibility
The repository does not explicitly state a license. The presence of BibTeX entries suggests a research-oriented origin, but commercial use or compatibility with closed-source projects is not specified.
Limitations & Caveats
The application strictly requires an OpenAI API key, which incurs costs. The README does not detail performance benchmarks, supported PDF complexities, or potential limitations on document length or content.
3 months ago
1 day