Skip to content
Kordu Tools
Text Tools Runs in browser AI Updated 01 Apr 2026

AI Text Summarizer

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

~114.4 MB download
0 words • 0 chars
Length:

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.
Loading rating…

How to use AI Text Summarizer

  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. Choose summary length

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

  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. 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. 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.

AI Text Summarizer FAQ

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.

Background

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.

Related tools

Word Counter

Count words, characters, sentences, and paragraphs with reading time, speaking time, and keyword density.

AI Sentiment Analyzer

Analyze text sentiment with AI. DistilBERT understands context, negation, and sarcasm — runs on-device with no data uploaded.

Text Similarity Checker

Compare two texts with AI semantic similarity — detects duplicate content and plagiarism with a 0–100% match score.

AI Language Detector

Identify the language of any text with a BERT neural network — accurate on short snippets and closely related languages. Runs on-device.

Speech to Text

Transcribe audio to text free — upload MP3/WAV/WebM or record from microphone. AI-powered by Whisper, fully on-device and private.