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Developer Tools · AI-Powered

AI Text Summarizer

Paste any article, essay, or document and get a concise, accurate summary in seconds. Advanced AI runs entirely in your browser, no uploads, no API key, completely private.

No uploads, runs in browserFree & no signupAI-powered summarization

Input Text

237 words

Settings

150 tokens
ShorterLonger
50 tokens
The AI model downloads to your browser on first use and is cached for future sessions, no data ever leaves your device.

How to summarize text with AI

Get a concise AI-generated summary in four steps, no account needed.

  1. 01

    Paste your text

    Paste any article, essay, research paper, or long document into the input panel. The tool works best with 100–2000 words.

  2. 02

    Adjust summary length

    Use the Max and Min length sliders to control how long the summary should be. Shorter settings produce a headline-style summary; longer settings preserve more detail.

  3. 03

    Click Summarize

    On first use, the AI model (~250 MB) downloads to your browser and is cached for future sessions. Subsequent uses are instant.

  4. 04

    Copy or use the summary

    The summary appears below the settings panel. Click Copy to copy it to your clipboard, or use the reduction percentage to gauge how much was condensed.

What people use it for

Six situations where summarising saves time.

Research papers

Quickly grasp the key findings of academic papers without reading every section in full.

News articles

Get the gist of long news articles in a few sentences, useful for staying informed without information overload.

Meeting notes

Paste meeting transcripts or notes and get a concise summary of decisions and action items.

Legal documents

Summarize contracts, terms of service, or policy documents to understand the key points before reading in detail.

Study & revision

Condense textbook chapters or lecture notes into shorter summaries for faster revision.

Content curation

Summarize multiple articles quickly to decide which ones are worth reading in full.

How the summary is written

The tool runs DistilBART, a smaller version of Facebook's BART model fine-tuned on CNN and Daily Mail news articles, through the Transformers.js library in your browser. It's an abstractive summariser: rather than copying sentences, it writes a new, shorter text from what it has read. That's why summaries can include phrasing that isn't in the original.

Two settings control length. The maximum, from 50 to 300 tokens and starting at 150, caps how long the summary can get; the minimum, starting at 50, stops it from being too terse. A token is roughly three quarters of a word, so the default 150-token cap gives a summary of up to about 110 words.

InputWhat happens
Under about 100 wordsOften just a reworded version of the original
100 to 650 wordsThe range the model handles best
Over 4,096 characters (about 650 words)Only the first part is summarised; the rest is ignored

Check the summary before you rely on it

  • Like all AI summarisers, it can get facts wrong, merge two points, or state something the original didn't say. Check names, numbers and dates against the source.
  • It was trained on news, so it does best with articles and reports. Chat logs, code, lists and poetry give weaker results.
  • English only. Text in other languages produces unreliable summaries.
  • The first run downloads roughly 250 MB of model files; later runs use your browser's cache.

Frequently asked questions

Everything you need to know about the AI text summarizer.

Free, no account, no watermarks.
No. The AI model runs entirely inside your browser using WebAssembly. Your text never leaves your device, so your content stays completely private.
DistilBART (distilbart-cnn-6-6), a compact abstractive summarization model trained on CNN/DailyMail news articles. It runs in your browser via Transformers.js. It generates new sentences that capture the meaning of your text, rather than just copying existing sentences out.
The AI model (~250 MB) needs to download to your browser on first use. After that it is cached, so all future uses are instant, even offline.
Up to about 650 words at a time. Only the first 4,096 characters are passed to the model, and anything after that is ignored, so split longer documents into sections and summarise each one.
Extractive summarization picks existing sentences from the text. Abstractive summarization (used here) generates new sentences that capture the meaning, similar to how a human would summarize.
The model is trained primarily on English text and produces the best results with English input. Other languages may produce lower-quality summaries.
Yes. The tool works in any modern browser on desktop or mobile. Processing may be slower on older or low-memory devices since the AI runs locally on your hardware.
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