AI Summarizer — Bullet, Executive or TLDR Summaries

Why summaries always lose something

A summary is a lossy compression, and what it drops is chosen by something that does not know what you care about. A model selects what to keep by what looks structurally important in the text — repeated ideas, position, emphasis — not by what matters for your purpose. So the same document summarised for a lawyer and for a marketer should differ, and a generic summary serves neither.

This is why the style option matters more than it appears: it is the only way you tell the system what shape of answer you need.

What gets lost reliably

Before you trust a summary, know what it typically discards:

• Hedging and qualification. "Results suggest a possible link in a small sample" compresses to "results show a link". Certainty is the first casualty of summarisation, and it inverts the meaning of cautious writing.
• Numbers and their conditions. A figure survives while the caveat attached to it does not. A rate of return in a specific market becomes a bare percentage.
• Attribution. Who claimed what gets flattened into an impersonal statement of fact, which matters enormously in reporting and in anything contested.
• Structure of disagreement. A document presenting two competing views can summarise into one, and the reader cannot tell which side won or whether both survived.

Hallucination in summaries

A summary can state something the source does not say, or subtly reverse a conclusion, and it will read fluently either way. The fluency of a summary is not evidence of its fidelity. Verify any figure, name, date or conclusion against the original before repeating it — the source is right there, which is exactly why people skip the check.

Good uses and bad uses

Good: triaging whether a long document is worth reading, recalling the gist of something you have already read, turning a transcript into an agenda, learning what a dense paper covers before deciding to read it properly.

Bad: anything where you will act on the summary without reading the source, and anything legal, medical, financial or contractual — in those, the discarded qualification is usually the important part. Never summarise a contract and sign based on the summary.

Length and quality

A longer source does not produce a proportionally better summary, and very long inputs may be truncated or degrade. Summarising in sections and combining the results usually beats one pass at a whole book — and it has the side benefit of making each part easy to check against the original.

Before you paste anything in

What you enter is sent to this site's server and on to a third-party model provider. It does not run in your browser and it is not private.

Avoid pasting anything confidential — customer data, commercial terms, unpublished material, personal details belonging to other people, or anything covered by an NDA. For text you would not email to an outside party, do not put it through an AI tool either.

Summarising and translating are frequently done together on the same document, and the order matters: summarise first and you translate far less text. The AI translator handles the second step.