PDF2Audio

PDF2Audio is an open-source tool that converts PDFs into engaging audio formats such as podcasts, lectures, and summaries. It leverages OpenAI GPT models for text generation and text-to-speech conversion, offering customizable workflows and the ability to process multiple PDFs. The project emphasizes flexibility and user control, enabling local or API-based model usage and template-driven audio outputs.

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How to Use PDF2Audio

1. Upload PDFs. Import one or more PDF files (Gradio app).
2. Choose an Instruction Template. Select from podcast, lecture, summary, or other formats to shape the output style.
3. Customize (Optional). Adjust text-generation and audio models, speaker voices, and introductory/prelogue instructions as needed.
4. Generate Audio. Click the Generate Audio button to produce the audio content.

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Features

• Open-source alternative to NotebookLM with flexible outputs
• Convert PDFs into podcast, lecture, discussions, summaries, and more
• Upload and process multiple PDF files in one session
• Customize text generation and audio models
• Change speaker voices for different segments
• Introductory and prelude instructions to tailor dialogue
• Local or API-based usage; supports OpenAI GPT models (API key required for OpenAI)
• Lightweight and modifiable for advanced users and developers

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How It Works

• The tool parses PDF content, feeds it into a configurable text-generation model, and synthesizes speech to produce audio output.
• Users can select templates to guide tone, length, and structure (e.g., podcast dialogue, lectures, or concise summaries).
• Outputs can be customized further with different voice options and introductory cues to shape the listening experience.

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Compare and Context

• PDF2Audio AI is presented as an open-source alternative designed to offer greater control over outputs compared to NotebookLM’s podcast features.
• It emphasizes flexibility, allowing users to tailor both the textual and audio aspects of the generated content.

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Safety and Legal Considerations

• Ensure you have rights to the PDFs and comply with any copyright or privacy considerations when generating audio content.

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Core Features

• Open-source with flexible, template-driven audio generation
• Multi-PDF support for batch processing
• Templates for podcasts, lectures, summaries, and discussions
• Customizable text generation and voice models
• Intro and prelude instruction customization
• Local or OpenAI API-based usage with API key
• Voice customization for speakers and segments