Project Description: Automated Chapter-wise Audiobook Generation from PDF Using AI

This project aims to build an intelligent, end-to-end pipeline that converts a PDF document into a professionally narrated, chapter-wise audiobook. The pipeline leverages AI technologies—specifically OpenAI’s ChatGPT for intelligent content structuring and narration planning, and Sarvam AI’s text-to-speech (TTS) engine for natural voice synthesis.

Step-by-Step Workflow

1. PDF Ingestion and Parsing

   • The user uploads a PDF document containing the content to be converted into an audiobook.
   • The system extracts the text content from the PDF while preserving the logical and visual structure (e.g., chapters, sections, headings).
   • Special handling ensures that footnotes, captions, or formatting artifacts are either cleaned or appropriately integrated into the narration.

2. Content Structuring and Chapter Segmentation

   • ChatGPT processes the extracted text to identify and segment it into chapters and sub-sections.
   • If the original PDF lacks explicit chapter markers, ChatGPT intelligently infers logical divisions based on headings, thematic breaks, and content flow.
   • Each chapter is labeled appropriately and stored for further processing.

3. Narration Planning and Voice Guidance

   • For each chapter, ChatGPT generates a narration plan. This includes:

     • Narrative Tone & Style: e.g., formal, conversational, storytelling, academic.
     • Voice Instructions: e.g., where to pause, emphasize, soften or raise tone, based on content type (quotes, emotions, dialogues).
     • Contextual Enhancements: Optionally add brief introductory or closing statements for each chapter, or clarify complex terms if the target audience is general.

4. Text-to-Speech Conversion

   • The processed and structured narration-ready text is sent to Sarvam AI’s TTS engine.
   • One chapter at a time is fed into the TTS model, using the narration guidance provided by ChatGPT to influence voice modulation, inflection, and timing.
   • The output is a high-quality audio file for each chapter, named and organized sequentially.

5. Output Compilation

   • The final output is a collection of chapter-wise audio files (e.g., Chapter_01_Introduction.mp3, Chapter_02_The_History.mp3, etc.).
   • Optional metadata (e.g., duration, transcript, summary) can be generated and attached to each chapter for audiobook publishing platforms.

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Optional Features for Enhancement

• Voice Personalization: Allow the user to choose different voices or accents from Sarvam AI.
• Multilingual Support: Translate content before TTS for bilingual audiobooks.
• Summary Versions: Generate short summaries of each chapter as bonus audio content.
• Accessibility Enhancements: Add descriptions for images or diagrams in the original PDF.

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Use Case Applications

• Educational audiobooks (textbooks, guides)
• Storybooks and fiction
• Corporate training materials
• Accessibility solutions for visually impaired users

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This pipeline ensures that the audiobook is not just a robotic readout of text but a context-aware, tone-sensitive, chapter-organized narrative tailored for listener engagement and clarity.