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AI Text Summarizer

AI Runs in browser

Summarize articles, essays, and documents with AI. Choose length, get bullet points, see word-count reduction. Runs on-device.

Last updated 01 Apr 2026

Summarize any text using T5-small, a transformer model running entirely in your browser. Choose short, medium, or long output length, toggle bullet point mode, and see the word-count reduction percentage. A one-time 120 MB model download is required — cached for future visits. Your text never leaves your device.

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AI Summarization Model

This tool runs T5-small entirely in your browser. A one-time ~120 MB download is required. The model is cached for future visits.
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How to use

  1. 1

    Paste your text

    Copy and paste the article, essay, or document you want to summarize into the input field. For best results, keep input under 400 words.

  2. 2

    Choose summary length

    Select Short (~50 words), Medium (~100 words), or Long (~150 words) depending on how condensed you need the output.

  3. 3

    Enable bullet points (optional)

    Toggle Bullet Points to format the summary as a bulleted list — easier to scan and share in reports or messages.

  4. 4

    Click Summarize

    Press Summarize. On first use, the 120 MB T5-small model downloads and caches. Inference typically takes 5–15 seconds. The summary appears with a word-count reduction percentage.

  5. 5

    Copy or download the summary

    Click Copy to copy the summary to your clipboard, or click the download icon to save it as a .txt file.

Frequently asked questions

What is a text summarizer?
A text summarizer condenses long content into a shorter version that retains the key points. AI summarizers like this one generate new sentences (abstractive summarization) rather than just extracting existing sentences — producing more natural, readable output.
What AI model does this use?
This tool uses T5-small, a compact version of Google's Text-to-Text Transfer Transformer (T5). It was trained to convert long text into shorter text while preserving the main meaning. It runs in your browser using WebAssembly.
Why does it need a 120 MB download?
T5-small's neural network weights total approximately 120 MB. Once downloaded, the model is stored in your browser's cache and reused on all future visits — you only pay the download cost once.
Is my text sent to a server?
No. All inference runs locally in your browser using WebAssembly. Your text never leaves your device and is never uploaded anywhere.
Why is there a 400-word limit warning?
T5-small has a context window of approximately 512 tokens, mapping to roughly 400 words of English text. Text beyond this limit is truncated. For longer documents, summarize in sections.
What is the difference between short, medium, and long summaries?
Short generates up to ~50 words, medium up to ~100 words, and long up to ~150 words. The model also respects minimum lengths to avoid over-compression.
What does bullet point mode do?
Bullet mode post-processes the summary by splitting on sentence boundaries and prefixing each with a bullet character — making the summary easier to scan and paste into reports or presentations.
How accurate is T5-small?
T5-small performs well on news articles and formal English prose but may struggle with highly technical, domain-specific, or poorly structured text. For critical work, always review the output.
Does it work on languages other than English?
T5-small was primarily trained on English. Summarization quality in other languages will be significantly lower — for non-English content, results are not reliable.
Can I summarize PDFs?
Not directly — paste the extracted text from your PDF into the input field. PDF text extraction is available via other tools on the site.

Manually summarizing long documents is time-consuming and error-prone. This tool

uses Google's T5-small — a sequence-to-sequence transformer trained to rewrite

input text as shorter output text rather than simply extracting sentences —

producing more natural, readable summaries than extractive methods.

Unlike extractive summarizers that pull verbatim sentences, T5-small performs

abstractive summarization: it generates new sentences that capture the core

meaning of the source. This works well for news articles, research abstracts,

product descriptions, support tickets, and any prose-heavy content.

Choose between short (~50 words), medium (~100 words), or long (~150 words)

output. Enable bullet-point mode to split the summary into digestible points

for easy scanning and sharing. The word-count reduction metric shows exactly

how much compression was achieved.

The model runs entirely in your browser via WebAssembly after a one-time 120 MB

download cached for future visits. Your text never leaves your device. T5-small

handles up to ~400 words of input per call — longer documents are processed in

sections.

Who is this for? Students condensing research papers, journalists summarizing

press releases, support teams extracting key points from long tickets, and anyone

who regularly needs to triage large amounts of text.

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