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Long draft, small context window? Estimate the token count, choose a chunk size and split the text at paragraph and sentence boundaries — with optional overlap so the model does not lose the thread.
The short answer
A token chunker estimates how many tokens a piece of text contains and divides it into smaller sections that fit an AI context window. This browser tool supports token, character and word targets, keeps overlap between chunks, and lets you copy or download each section without uploading the document.
Characters
986
Words
168
Est. tokens
~247
Lines
7
Sentences
10
Read time
1 min
It uses a characters-per-token ratio, not a model-specific tokenizer. The default of four characters per token is close for English prose; code and non-English text need a lower ratio. Treat the figure as a budget, not an exact bill.
Around 5–10% of the target size works for most prose. Overlap is capped at half the target so the splitter cannot loop. Use zero overlap when you want clean, non-repeating sections.
It tries paragraph boundaries first, then sentence boundaries, and only cuts mid-sentence when a single sentence is larger than the target. This keeps each chunk readable.
No. Token counting and chunking run in the browser. The text, chunk sizes and downloaded files stay on your device.
Yes. Each chunk is plain text with a copy button. Download all chunks with separator headings if you prefer to work through a long document offline.
Need it done for you?
Convert the sheet to Markdown first, then chunk the prompt. If the formulas still fail, send the workbook to a human expert for a tested fix.