Free tool
Prompt Splitter
Break a long document into numbered chunks that fit any chat AI's message limits, with continuation instructions added automatically. Splits on paragraph boundaries to keep context intact.
0 chunks · ≈0 tokens total
What it is for
Chat interfaces cap how much you can paste in one message, which is a problem when the document you need analysed is longer than the cap. Splitting it by hand loses context at the seams and produces summaries that read like they were written by someone who missed a chapter.
This splits long text into numbered chunks with continuation instructions attached, so the model knows more is coming.
How it works
Paste the text, choose a chunk size, and the splitter breaks it on paragraph boundaries rather than at an arbitrary character count — so a sentence is never cut mid-thought. Each chunk is numbered and carries an instruction telling the model to wait for the rest before responding.
All of it happens in your browser.
When to use it — and when not to
Use it for long documents in a chat interface — transcripts, reports, contracts, research papers — where you want one analysis over the whole thing rather than several partial ones.
If you are working through an API, chunking like this is usually the wrong approach. Either the model's context window fits the document, or the right answer is retrieval rather than serial pasting.
Things worth knowing
Tell the model what you want before you start sending chunks, not after. A model that knows it is looking for contractual obligations reads differently from one that is asked afterwards, and the difference in output quality is substantial.
Keep chunks meaningfully under the limit. Filling the window exactly leaves no room for the response, and the failure mode is a truncated answer rather than an error.
Frequently asked questions
Why do I need to split a prompt?
Chat interfaces cap how much text you can paste in a single message, which is far below the model's actual context window. Splitting lets you feed a long document across several messages while keeping it in one conversation.
Will the AI remember earlier chunks?
Yes, as long as the total stays within the model's context window. Each chunk includes an instruction telling the model to wait before responding, so it holds all parts before answering.