AI Summarizer (TextRank)

Paste an article or long text and get a concise summary. Runs locally — no upload required.

Summary appears here
Related: OCRImage Converter

Summarize Text – Fast, Private Summaries

Summarize long articles, reports, and documents into concise, readable summaries using an efficient TextRank-based algorithm implemented locally in your browser. MiniAIToolset's AI Summarizer is engineered for professionals who need a rapid overview of long-form content without sending text to external APIs. It identifies the most representative sentences and produces a human-readable summary that preserves key points and context — ideal for research, news, or internal memos.

Why use the Summarizer

Use cases

Market researchers condense reports, students summarize articles for study notes, and executives preview long proposals before reading the full document.

How to summarize text

  1. Paste the full text into the input box or paste an article body from your clipboard.
  2. Set the number of sentences for the summary to control length and verbosity.
  3. Click 'Summarize' — the tool will extract the top sentences and display a coherent summary instantly.
  4. Review and copy the result for notes, emails, or further editing.

Tips for better summaries

Generate quick, private summaries in your browser to boost productivity and stay informed without losing control of your content.

Frequently asked questions

Is the summarizer powered by a cloud AI?

No. This implementation uses a TextRank-style algorithm that runs locally in the browser — no cloud calls are made.

Can it summarize PDFs directly?

This tool accepts pasted text. For PDFs, first extract text using our OCR tool or copy text from your PDF viewer.

How many sentences should I choose?

It depends on desired brevity; 3–5 sentences work well for typical articles, while longer documents may benefit from 7–10 sentences.

Is the summary perfect?

Automated summaries are a strong starting point but may miss nuanced context. Review and edit as needed for critical use cases.

Are my inputs stored?

No — all processing and text remain local to your browser session.

Does it support other languages?

The current algorithm is language-agnostic for sentence extraction but works best with Latin-script languages. We plan broader multilingual improvements.

Can I integrate this into other tools?

The code is client-side and can be adapted for local integrations; contact us for licensing discussions for embedded use.