Split a long LLM answer into readable sections
Large language models love to produce long, dense answers — multi-part explanations, step lists, comparisons and caveats all in one block. This tool takes that wall of text and breaks it into logical, collapsible sections so you can scan the structure, jump to the part you need, and copy sections one at a time. Everything runs locally in your browser.
How it works
The splitter ranks the structural signals present in your text and uses the strongest one:
- Markdown headings (
#,##,###) — each heading starts a new section. - Bold-line pseudo-headings — a short line wrapped in
**...**on its own. - Top-level numbered or bulleted items (
1.,-,*) — each item becomes a section. - Blank-line paragraph gaps — runs of empty lines separate paragraphs.
If none of those are present, it falls back to grouping sentences into roughly even chunks. Each section gets a heading (taken from the marker line, or generated from the first sentence) and a word count, so you can see at a glance how the answer is balanced.
Tips and notes
- If the split is too fine, switch to Headings only so numbered list items stay grouped under their parent heading.
- The word count per section is a quick way to spot a bloated section that the model padded out — a candidate for a follow-up “shorten section 3” prompt.
- Pasting JSON or code blocks works, but fenced code (```) is kept intact inside a single section so it is never split mid-block.