AI-powered online book creator that turns ideas into finished books with professional files
Datasets for RAG, fine-tuning and training built from public sources
Stage
Not given
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Founded
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Based in
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Pricing model
Freemium
Paid
Pricing
Starter $20/month for 200 credits, Creator $50/month for 600 credits, Studio $100/month for 1,500 credits. Yearly plans save 20%. New accounts get 30 free credits to generate and preview a book; downloading files requires a paid plan or credit pack. One credit covers approximately one page (about 40
Web Corpus: starter sets from $49 (250,000-500,000 documents); shelf corpora from $99-$199 per shelf (one-time license); Everything (full crawl) $3,000 one-time; Whole Library (all builds for one year) $5,000 per year. Reference Collections: Encyclopedia $1,200 commercial or $349 research (one-time)
Key features
Outline planning and structure
AI chapter writing with revision control
AI-generated cover design
Integrated project management
Version history and chapter tracking
Support for various book types
Direct publishing integration with Amazon KDP
Parallel chapter writing for longer manuscripts
Free writing tools (Word Counter and Name Generator)
Web corpus with 100.7M documents and 105B tokens from Common Crawl
Documents scored with Bear Rank and shelved by subject
15 million encyclopedia entries with sources and model attribution
200 million synthetic Q&A records with metadata
Delivered as JSONL and Parquet formats
Free samples available on Hugging Face
Command-line client with resumable downloads and SHA-256 verification
Statistics collection with 7,000 topics and 140,000 figures
Glossaries for 10,000 topics with one million definitions
Book Q&A dataset with 8,000 titles for reading comprehension
What makes it different
Specialist AI agents for each book stage rather than a single general chatbot
Full editorial control with human review at every stage
Complete ownership of all generated content with commercial rights
All datasets built only from public sources with full provenance tracking
Every record includes source attribution and licensing information
Eight curated subject shelves for targeted corpus selection
Flexible purchasing: buy individual shelves, slices, or entire library
Over 4 TB of clean, deduplicated text ready for machine learning