SL ShishwaLab Free AI Tools & Smart Utilities

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AI Text Summarizer

Free extractive AI text summarizer and PDF summarizer. Paste text, upload TXT/PDF, choose Brief, Standard, Detailed, Bullet Points, or Key Takeaways, then get a summary, key points, important terms, and compression stats—all in your browser. Free, fast, and built for a clean browser workflow.

Private by design: extractive summarization runs in your browser. Content is not uploaded to ShishwaLab servers.

0 characters

TXT and text-based PDFs are parsed locally. Scanned or encrypted PDFs may not yield text.

Summary mode

Paste text or upload a file, choose a mode, then summarize.

ModeBrief

Original words0

Summary words0

Compression—

Key points

  • Key points appear after you summarize.

Important terms

Important terms appear after you summarize.

How extractive summarization works here

Keyword frequency Sentences that carry repeated topic words score higher.

Sentence position Opening and closing sentences often introduce or conclude ideas.

Length & concepts Mid-length sentences with shared concepts are preferred over duplicates.

Headings When heading-like lines appear, nearby content gets a light boost.

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About this tool

The ShishwaLab AI Text Summarizer is a free AI summarizer and article summarizer that uses extractive heuristics—keyword frequency, sentence position, sentence length, repeated concepts, and heading cues—to pull the most representative sentences. It does not call paid AI APIs or invent new facts.

Five modes cover common needs: Brief for a tight overview, Standard for everyday reading, Detailed for fuller coverage, Bullet Points for scannable lists, and Key Takeaways for concept-first highlights. You also get key points, important terms, original vs summary word counts, and compression percentage.

TXT and PDF uploads are supported with client-side parsing. Scanned, encrypted, empty, or malformed PDFs are handled with clear messages. Processing stays in your browser; your text and files are not uploaded to ShishwaLab servers for summarization.

Tips for better results

  • Use Brief for emails and skimming; switch to Detailed when you need more of the source retained.
  • Text-based PDFs work best. Image-only scans usually have no extractable text—paste OCR output if you have it.
  • Check Important Terms and Key Points to confirm the summary kept the concepts you care about.
  • Treat the result as a reading aid. For decisions that matter, skim the original sections the summary highlights.

How to use

  1. 1 Paste article text, upload a TXT file, or load a text-based PDF.
  2. 2 Choose a mode: Brief, Standard, Detailed, Bullet Points, or Key Takeaways.
  3. 3 Click Summarize, review the summary, key points, and terms, then copy or download TXT.

Mode guide

Choose how much of the source to keep

This free AI summarizer is extractive: it selects existing sentences using keyword frequency, position, length, repeated concepts, and heading cues. It does not invent facts with a paid AI API.

Brief

Best for a quick skim. Keeps a small set of high-scoring sentences so you can decide whether to read more.

Standard

Best everyday article summarizer mode. Balances compression with enough context for most reports and posts.

Detailed

Best when you need fuller coverage. Retains more sentences while still dropping low-signal or duplicate lines.

Bullet Points

Formats the top extractive sentences as bullets for notes, slide outlines, and quick scanning.

Key Takeaways

Emphasizes concept-first highlights and important terms so the main ideas stand out before full sentences.

PDF summarizer

Text-based PDFs are parsed locally. Image-only scans, encrypted files, and malformed PDFs get clear guidance instead of a fake summary.

FAQ

Is this a free AI summarizer?

Yes. Paste text or upload TXT/PDF, pick a mode, and summarize in your browser. No account or paid AI API is required for basic use.

How does the text summarizer work?

It uses extractive summarization: scoring sentences by keyword frequency, position, length, repeated concepts, and heading cues, then selecting non-duplicate sentences. It does not rewrite with a generative model.

Can it summarize PDFs?

Yes for text-based PDFs. The PDF parser runs locally. Scanned image PDFs, password-protected files, empty files, and malformed PDFs show a clear error or tip instead of a fake summary.

Is my text or PDF uploaded?

No. Summarization runs entirely in your browser. Your content is not uploaded to ShishwaLab servers for summarization.

What modes are available?

Brief, Standard, Detailed, Bullet Points, and Key Takeaways. Each mode changes how many sentences (or takeaways) are kept and how the output is formatted.

What stats does it show?

Summary text, key points, important terms, original word count, summary word count, and compression percentage so you can see how much was condensed.