TextRank summarizer
Summarize an article or report by extracting its key sentences with the TextRank algorithm. Runs in your browser — no AI model, nothing uploaded.
About this tool
TextRank summarizer condenses a long passage into its most important sentences. It builds a graph where each sentence links to others it shares words with, runs PageRank over that graph, and keeps the highest-scoring sentences — the same idea Google used to rank web pages, applied to sentences.
- Extractive: the summary is made of real sentences from your text, verbatim and in their original order — nothing is paraphrased or invented.
- No AI model: it's a deterministic graph algorithm, so the same input always gives the same summary, instantly, with no model download.
- Choose how many sentences you want in the summary.
Privacy
Everything runs in your browser via WebAssembly — your text is never uploaded to a server. You can also run it from the gizza CLI or inside a gizza chat.
Best for
Articles, reports, meeting notes, and transcripts — anything with several sentences where you want a quick TL;DR built from the original wording.
FAQ
How many sentences can the summary contain?
Anywhere from 1 to 50 (the default is 3). If your text has no more sentences than you asked for, it's returned whole — the tool never invents content to pad a summary out.
How are sentence boundaries detected?
A sentence ends at ., ! or ? followed by whitespace or the end of the
text. Because a decimal point like 3.14 isn't followed by a space, it
doesn't split — but abbreviations such as "e.g. " or "Dr. Smith" will end a
sentence, which can occasionally fragment one. Trailing text without final
punctuation still counts as a sentence.
Will the summary sentences be reworded?
Never. TextRank is extractive: it scores the sentences you wrote (connecting ones that share content words, after removing stopwords, then running PageRank) and returns the top scorers verbatim, in their original document order. Same input, same summary — there's no model and no randomness.
Why does it favor certain sentences?
Sentences that share vocabulary with many other sentences act like highly linked pages in PageRank — they accumulate score. Similarity is normalized by sentence length (log-scaled), so a long rambling sentence doesn't win just by containing more words.
Developer & Automation Access
Run it from the terminal
Same engine as this page, headless — via the gizza CLI:
gizza tool textrank-summarize "Paste an article, report, or transcript…"New to the CLI? Get gizza →
Open it by URL
Pre-fill and auto-run this tool with query parameters — the names match the API/CLI:
https://gizza.ai/tools/textrank-summarize/?text=Paste%20an%20article%2C%20report%2C%20or%20transcript%E2%80%A6&sentences=3Machine-readable descriptor: tool.json — title + parameters JSON Schema for agents.