Django eBook Generator Script

eBook Generator is a Django-based tool that converts manuscripts (TXT, DOCX, or PDF) into professionally formatted PDF eBooks. It automatically detects chapter and section structure — including headings, numbered sections, and list-style entries — and presents it on an editable Structure step so nothing gets baked into the final book without review. The output PDF ships with an auto-generated table of contents, branded typography (Inter for body, Coderobotics for headings), and a matching AI-generated cover produced via Pollinations.ai, with Hugging Face as a free-tier fallback. The entire pipeline — parsing, cover generation, and PDF building — runs as background jobs, synchronously by default for local development or via Celery and Redis for production. Built entirely on free tools and free-tier services, it requires no paid APIs to run. Complete source code included.

Features

What You Get  

• Manuscript upload and parsing for TXT, DOCX, and PDF source files
• Automatic chapter/section detection (heading styles, "Chapter/Part N" markers, numbered listicle entries, and list-style formatting)
• An editable Structure step so detected chapters/sections can be reviewed and corrected before generation
• Auto-generated table of contents in the final PDF
• AI-generated cover art (Pollinations.ai, with Hugging Face free tier as fallback) with the title/author rendered as a clean text overlay — never baked into the image
• Optional reference image upload used as loose style inspiration for the cover
• Branded PDF output with custom embedded fonts (Inter for body text, CodeRobotics for headings)
• Background job processing for parsing, cover generation, and PDF building

Why This Toolkit?  

• Zero paid dependencies — runs entirely on free tools and free-tier AI services
• Human-in-the-loop structure editing means auto-detection mistakes never make it into the final book
• Clean, modern UI (Tailwind + HTMX + Alpine.js) with no page-reload workflow
• Runs fully locally with no external job queue required for development

Perfect For  

• Independent authors self-publishing a manuscript as a PDF e-book
• Small publishers needing a fast first-pass layout and cover concept
• Writers who want a quick, presentable PDF without touching design tools

Requirements

• Django 6
• Celery (background task processing)
• WeasyPrint (PDF rendering)
• python-docx, PyMuPDF (document parsing)
• Tailwind CSS, HTMX, Alpine.js (frontend)
• Pollinations.ai / Hugging Face (AI cover generation)

Instructions

• Python environment with project dependencies installed
• GTK3 runtime on Windows (for WeasyPrint/PDF rendering); native on Linux/Docker via standard Pango/Cairo libraries
• Redis + Celery worker for production-style background processing (optional for local development, which runs jobs synchronously)