Chunker AI
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About
Chunker AI is an advanced document processing tool designed to break down large documents into manageable chunks for AI processing. It supports PDF and DOCX files, offering multiple chunking strategies like character count, word count, and paragraph-based methods. It integrates with OpenAI models and allows customizable prompt templates. Ideal for summarizing books, generating ebooks, and processing business documents, Chunker AI ensures secure, real-time processing with no data storage. Export options include processed text only and side-by-side comparison.
Platform
Task
Features
• multiple export options
• customizable prompt templates
• real-time processing status
• openai integration with latest models
• multiple chunking strategies: character count, word count, paragraph-based
• process pdf and docx files
FAQs
What is Chunker AI and how does it work?
Chunker AI is an advanced document processing tool that breaks down large documents into manageable pieces (chunks) for AI processing. It's perfect for summarizing books, generating ebooks, and processing large documents that exceed normal AI token limits.
What can I use Chunker AI for?
Summarize books and PDFs; Generate AI-powered ebooks; Process business documents; Create book summaries; Format and structure large text documents; Break down content for AI processing
What are chunking strategies and which one should I choose?
Character Count: Best for technical content and code; Word Count: Ideal for articles and general text; Paragraph: Perfect for books and narrative content. Semantic chunking is automatically applied to maintain context across chunks.
How can I use Chunker AI for writing and summarizing books?
Break down existing books for summarization; Process research materials for book writing; Generate structured content for ebooks; Create chapter summaries and outlines. Use custom prompts to guide the AI in generating the content you need.
What are the optimal chunk sizes for different content types?
Books: 2000-3000 characters or paragraph mode; Technical Content: 1000-1500 characters; Articles: 300-500 words; Business Documents: 1500-2000 characters. Larger chunks maintain better context but may hit AI model token limits.
How does Chunker AI handle large documents and AI token limits?
Splits content to fit within model token limits; Maintains context between chunks; Processes chunks sequentially; Combines results maintaining document structure. This allows processing of documents of any size while respecting AI model limitations.
What file formats and sizes are supported?
PDF files; DOCX documents; Maximum file size: 16MB. All files are processed securely and deleted after completion.
What AI models are available and how do they differ?
GPT-4O: Best for complex tasks, book writing, and detailed analysis; GPT-4O Mini: Faster processing, ideal for summaries and shorter content. Choose based on your specific needs for speed vs. detail.
How secure is my content and API key?
All processing happens in real-time; No data storage on servers; API keys are used only for processing; Files are deleted immediately after processing; Secure HTTPS encryption for all transfers
Job Opportunities
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