Text Summarizer
Paste long text and get a concise extractive summary. Picks the most important sentences using keyword frequency and position scoring. No AI API required.
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How to Use
- Paste Your Text — Enter or paste the long text you want to summarize. The tool works best with articles, essays, reports, and documents of at least 5-10 sentences. Longer texts produce better summaries.
- Choose Summary Length — Select how many sentences you want in the summary: 3 (very brief), 5 (standard), or 10 (detailed). The algorithm automatically picks the most important sentences based on keyword frequency, position, and length.
- Review the Summary — The summary appears at the top, followed by a sentence ranking showing how each sentence scored. The top keywords used for scoring are displayed as tags. Copy the summary to use elsewhere. Stats show original vs. summary word count and compression ratio.
About the Text Summarizer
WritePadPro's Text Summarizer uses extractive summarization to condense long documents into their most important sentences. Unlike AI-powered abstractive summarizers that generate new text (and require expensive API calls), this tool selects and re-orders the highest-scoring sentences from your original text — producing a summary that is always factually accurate because every sentence comes directly from the source.
The Scoring Algorithm
Each sentence in your text is scored across seven dimensions:
- Keyword Frequency (3x weight) — Sentences containing words that appear frequently throughout the text score higher. Frequent words indicate core topics. Stop words (the, is, and, etc.) are excluded.
- Keyword Density (2x weight) — The proportion of meaningful keywords within the sentence. A sentence packed with topic-relevant words scores higher than one dominated by filler.
- Position Score — Sentences in the first 20% of the text get the highest position bonus (1.5), followed by the last 20% (1.0). This reflects the journalistic "inverted pyramid" and academic "introduction-conclusion" patterns where key information appears at the beginning and end.
- Length Score — Medium-length sentences (10-30 words) score highest. Very short sentences often lack substance; very long sentences are harder to extract cleanly.
- First Sentence Bonus — The opening sentence gets an extra 2.0 points because it typically introduces the main topic or thesis.
- Numeric Content — Sentences containing numbers get a 0.5 bonus because they often contain important data, statistics, or specific claims.
- Quotation Content — Sentences with quotation marks get a 0.3 bonus because quotes often capture key statements or expert opinions.
Extractive vs. Abstractive Summarization
Extractive (what this tool does) selects existing sentences from the text. The summary is always factually accurate because no new text is generated. However, it may lack smooth transitions between selected sentences. Abstractive (what AI tools like GPT do) generates new paraphrased text that may read more fluently but can introduce factual errors or hallucinations, and requires server-side AI processing.
Reading Flow Preservation
After scoring and selecting the top sentences, the tool re-orders them by their original position in the text. This means the summary maintains the logical flow of the original — topic introduction comes first, supporting details in the middle, and conclusions at the end. The sentences are not randomly ordered by score, which would produce a disjointed summary.
Transparency
Unlike black-box AI summarizers, this tool shows you exactly how it made its decisions. The sentence ranking display shows every sentence's score, which sentences were selected, and the top keywords that drove the scoring. You can see why each sentence was included or excluded, giving you the ability to judge the summary's quality and manually adjust if needed.
Privacy
The entire algorithm — sentence extraction, keyword frequency analysis, scoring, and ranking — runs in your browser using JavaScript. Your text is never sent to any server, processed by any API, or stored in any database. This makes it safe for summarizing confidential reports, proprietary research, private communications, and any other sensitive content.
Frequently Asked Questions
How does the summarization algorithm work?
The tool uses extractive summarization — it selects the most important sentences from the original text rather than generating new text. Each sentence is scored based on seven factors: keyword frequency (words that appear often are more important), keyword density within the sentence, position (first and last paragraphs carry more weight), sentence length (medium-length preferred), first sentence bonus, presence of numbers (data points), and presence of quotes. The top-scoring sentences are selected and re-ordered by their original position to maintain reading flow.
Does this use AI or machine learning?
No. This is a statistical/algorithmic summarizer, not an AI model. It uses term frequency analysis (TF) and heuristic scoring rules that have been used in computational linguistics since the 1950s. The advantage is that it runs entirely in your browser with zero API calls, zero cost, and zero privacy concerns. The trade-off is that it extracts existing sentences rather than generating new paraphrased text like GPT-based tools would.
What kind of text works best?
The summarizer works best with informational prose: news articles, blog posts, research papers, reports, essays, documentation, and Wikipedia-style content. It performs less well on: very short texts (under 5 sentences), creative fiction (where every sentence contributes to narrative), highly technical text with specialized vocabulary, and bullet-point lists (which are not sentence-structured).
What does the sentence ranking show?
After summarization, you can see how each sentence scored. Selected sentences (included in the summary) are highlighted with a checkmark and indigo border. The score bar shows relative importance — longer bars mean higher scores. The truncated text preview helps you identify which part of the original each sentence came from. This transparency lets you understand why the algorithm chose certain sentences.
What is the compression ratio?
Compression ratio shows how much shorter the summary is compared to the original. A 5-sentence summary of a 20-sentence text gives approximately 75% compression (the summary is 75% shorter than the original). Higher compression means a more condensed summary. The stats bar shows exact word counts for both original and summary.
Is my text sent to a server?
No. The entire summarization algorithm runs in your browser using JavaScript. Your text is analyzed locally — sentence splitting, keyword extraction, scoring, and selection all happen on your device. Nothing is transmitted to any server, API, or external service.