AI Text Summarizer

Paste a long piece of text and get a condensed version - bullet points or a short paragraph, depending on what you need. It is useful for triaging a document you have not got time to read in full, or for producing an abstract of something you wrote.

Free · runs in your browser · updated

AI Provider Settings
Provider
Model
Your API Key

Your key is stored only in this browser's local storage and sent directly to your chosen provider. OmniTool's servers never see it. Calls made with it may incur cost on your own account — use a key with usage limits.

Text to Summarize
Length
Format
Summary
Your summary will appear here...

AI Text Summarizer at a glance

What it does
Summarise long documents into bullet points or a short paragraph using your own OpenAI, Claude or Gemini key. The key stays in your browser.
Where it runs
In your browser, plus one request to the AI provider you configured
Works offline
No — it needs a live service to answer
Cost
Free, with no account and no usage limit
Category
AI Tools

How to use the summarizer

  1. Add your API key once in the settings panel and choose a provider. It is saved in your browser only.
  2. Paste the text you want summarised.
  3. Choose the output style - bullets for scanning, a paragraph for an abstract.
  4. Read the summary against the original before relying on it.

You bring your own API key. There is no subscription and no hidden quota here. Your key is stored in this browser's local storage and the request goes directly from your browser to the provider you chose — OpenAI, Anthropic or Google. Our servers are not in the path and never see the key or your text. Usage is billed to your own account by that provider, at their rates.

What summarisation is good at, and what it is not

It works well for: triaging long documents to decide whether to read them properly; extracting the main argument from an article; condensing meeting notes into decisions and actions; getting the gist of writing in a field you do not know well.

It works badly for: anything where the details are the point. Legal text, medical information, financial figures and technical specifications all lose the qualifications and exceptions that carry the meaning. A summary that drops "except where clause 7 applies" is worse than no summary.

The failure mode to watch for is a summary that is fluent, plausible and subtly wrong - a conclusion the document did not reach, a figure slightly altered, a hedged claim presented as certain. Fluency is not accuracy, and language models are considerably better at the former.

Getting better summaries

  • Say what the summary is for. "Summarise for someone deciding whether to attend" produces something different from "summarise the technical argument", and both beat an unqualified request.
  • Specify the length. "Three bullet points" or "under 100 words" gives you something usable; without a constraint you often get a summary nearly as long as the original.
  • Break up very long inputs. Summarise sections separately, then summarise the summaries. Quality degrades noticeably when a model is asked to hold a very long document in view at once.
  • Ask for what was left out. A follow-up asking which important caveats were omitted often surfaces exactly the thing that mattered.
  • Remove boilerplate first. Navigation text, cookie notices and signatures dilute the input and cost tokens.

Think about what you paste

Unlike the rest of OmniTool, this tool necessarily sends your text somewhere - to the AI provider you selected. Their privacy policy governs what happens to it, and policies differ on whether inputs may be used for training. Most providers do not train on API traffic by default, but this is worth verifying for your provider and plan rather than assuming.

The practical rule: do not paste anything you would not be comfortable sending to a third-party vendor. Client confidential material, unreleased financials, personal data about others and anything under NDA all deserve a deliberate decision rather than a reflex.

What it costs

Providers charge per token - roughly three-quarters of a word - counting both what you send and what comes back. Summarisation is input-heavy, so cost scales with document length.

In practice, summarising a long article with a small modern model costs a fraction of a cent. Repeatedly summarising very long documents with a large model adds up. If you are working through many documents, a smaller model is usually adequate for summarisation specifically, since the task is more extraction than reasoning.

Frequently asked questions

No. The tool is free; you supply your own API key and the provider bills you directly for usage.

In your browser's local storage, on your device. It is sent only to the AI provider you selected, directly from your browser. Our servers never receive it. Clearing site data removes it.

Treat it as a first pass, not a substitute for reading. Models can omit critical qualifications and occasionally state things the source did not. For anything consequential, verify against the original.

All three major providers handle summarisation well. Smaller, cheaper models are usually sufficient for this task specifically. Pick whichever you already have an account with.

That depends on your provider and plan. Most do not train on API traffic by default, but check the terms for your specific account rather than assuming.

What this tool sends, and what it does not

Most OmniTool utilities make no network request at all. This one is an exception, and it is worth being precise about it: to do its job, this tool contacts the AI provider you configured, using your own API key. That request goes directly from your browser to that service — we do not proxy it, and we never receive a copy of it or of the response.

Nothing else on this page is transmitted, and we keep no record of what you looked up. The privacy policy lists every tool on the site that makes an outside request, along with what our advertising partner collects.