Chunker AI: Smart Document Chunking for ChatGPT

Chunker AI solves one of the biggest headaches in AI-assisted writing: token limits. This smart document processing tool breaks massive PDFs and DOCX files into perfectly sized chunks, then feeds them through ChatGPT models for summarization, translation, formatting, or full-scale content generation. Whether you're turning a table of contents into a finished manuscript or distilling a 300-page report into key takeaways, Chunker AI handles the heavy lifting of document segmentation so the AI can focus on quality output. The tool supports multiple chunking strategies—by character count, word count, or paragraph—so you can match the method to your content type, whether that's dense technical documentation or flowing narrative prose. Users connect their own OpenAI API key, select between GPT-4O and GPT-4O Mini depending on speed versus depth requirements, and apply custom or pre-built prompt templates to guide exactly how each chunk gets processed. Results can be exported as clean processed text or as a side-by-side comparison with the original, making it easy to verify accuracy for sensitive work like literary or academic translation. From authors drafting entire books to researchers digesting dense academic papers, Chunker AI is built for anyone who needs to push large volumes of text through an AI model without hitting a wall. It's less a single-purpose tool and more a flexible pipeline for document-to-AI workflows.

1. Upload your document in PDF or DOCX format (up to 16MB). 2. Select a chunking strategy: Character Count, Word Count, or Paragraph. 3. Define your preferred chunk size based on content type. 4. Enter your own OpenAI API key to enable processing. 5. Choose an AI model—GPT-4O for complex tasks or GPT-4O Mini for faster, lighter processing. 6. Pick a prompt template or write a custom prompt to guide the output. 7. Select your output format: Processed Text Only or Side by Side Comparison. 8. Run the process and download or copy your results.