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PDF2Audio is an open source project designed to convert PDF files into audio formats such as podcasts, lectures, or summaries. The project uses OpenAI's GPT model for text generation and text-to-speech (TTS) conversion. Users can upload multiple PDF files and generate audio content based on different templates (e.g. podcasts, lectures, summaries).
Features of PDF2Audio
Support multiple PDF file uploads
Users can upload multiple PDF files at the same time and process documents in batches.
Multiple templates to choose from
Based on user needs, it supports the generation of different types of audio content. Templates include podcasts, lectures, summaries and other different scenarios.
Customized generation model
Users can customize the GPT model and text-to-speech (TTS) model to generate audio content that meets specific needs.
Different voice options
Supports selection of multiple voice styles and timbres to provide different auditory experiences for the generated audio.
How to use PDF2Audio
- Upload one or more PDF files.
- Select the template you want (such as Podcast, Lecture, or Abstract).
- Select the model and enter the API KEY
- Customize build parameters, such as selecting a timbre or adjusting build instructions.
- Click "Generate Audio" and the application will process the document and generate an audio file.
This project was inspired by and built upon the following two open source projects:
Online experience: https://huggingface.co/spaces/lamm-mit/PDF2Audio
- Author:KCGOD
- URL:https://kcgod.com/PDF2Audio
- Copyright:All articles in this blog, except for special statements, adopt BY-NC-SA agreement. Please indicate the source!
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