PDF2Audio is an open-source AI tool developed by LAMM MIT that transforms PDF documents into engaging audio content, such as podcasts, lectures, and summaries. By leveraging OpenAI's GPT models, it converts text into speech, enabling users to consume written material audibly. Key Features: - Multiple PDF Uploads: Allows users to upload and convert multiple PDF files into audio simultaneously. - Instruction Templates: Offers various templates (e.g., podcast, lecture, summary) to guide the audio conversion process. - Customizable Models: Enables users to adjust text generation and audio settings to suit their preferences. - Diverse Narrator Voices: Provides options to customize the narrator's voice according to user preferences. - Introductory Instructions: Allows for the inclusion of introductory directives to shape the generated dialogue. - Pre-Dialogue Instructions: Supports the provision of preliminary instructions before developing presentations or dialogues. Primary Value: PDF2Audio addresses the need for accessible and versatile content consumption by converting static PDF documents into dynamic audio formats. This functionality is particularly beneficial for individuals who prefer auditory learning, are visually impaired, or require on-the-go access to information. By offering customizable audio outputs, PDF2Audio enhances user engagement and comprehension of written materials.