Paper-to-Podcast
P
Paper To Podcast
Overview :
Paper-to-Podcast is a tool that converts academic papers into podcast format, simulating a discussion among three individuals to help listeners comprehend the paper's content in a more natural and humanized way. It not only makes complex information easier to digest but also provides valuable insights and critical analysis. The tool employs the OpenAI API for text-to-speech conversion, generating realistic voices with distinct character traits, allowing listeners to absorb the content of research papers by listening rather than reading while commuting or traveling.
Target Users :
The target audience is those who prefer listening over reading, especially podcast enthusiasts and users looking to absorb academic content while commuting or traveling. This tool is particularly suitable for those seeking a more interactive and engaging way to understand complex academic papers.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 62.7K
Use Cases
Transform an academic paper on artificial intelligence into a podcast, allowing listeners to catch up on the latest AI research during their commute.
Convert a biology paper into a podcast to help students review and understand course material in their spare time.
Adapt an economics paper into a podcast for business professionals seeking in-depth analysis of market trends.
Features
- Converts the content of academic papers into a discussion format among three individuals
- Creates detailed plans for each section of the paper using Planning Chain
- Expands on each section with Discussion Chain to ensure content fidelity to the original text
- Eliminates redundancy and optimizes transitions using Enhancement Chain for a smooth flow
- Utilizes OpenAI API to convert the generated script into audio
- Offers cost-effective podcast generation solutions, such as producing a 9-minute podcast from a 19-page research paper at approximately $0.16
- Supports users in running scripts from the terminal and providing research paper PDF files as parameters
How to Use
1. Clone the project repository: git clone https://github.com/Azzedde/paper_to_podcast.git
2. Navigate to the project directory: cd paper_to_podcast
3. Ensure you have a valid OpenAI API key stored in your .env file.
4. Place the research paper PDF file in the project directory.
5. Run the script from the terminal, providing the PDF file path as an argument: python paper_to_podcast.py path/to/your/research_paper.pdf
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