Summarize Text
Generate a concise summary of any long text — runs entirely on your device.
About Summarize Text
Summarize Text condenses a long passage into a short, readable summary, running the model entirely on your device. Use it when you have an article, a report, or a transcript that is too long to read in full and you want the gist in a few sentences. The text stays in your browser — nothing is sent to a server.
- Category
- text
- Input
- Accepts: text/plain.
- Output
- Outputs: text/plain.
- Cost
- Free, runs in your browser
- Memory
- medium
- Install group
- nlp-standard
Common uses
- Get the key points of a long article before deciding whether to read the whole thing
- Turn a meeting transcript into a few-sentence recap for people who missed it
- Condense a research paper's abstract-worth of detail into a quick takeaway
- Shorten a wall-of-text email into a TL;DR before forwarding it
- Summarize your own draft to check that the main argument lands
- Pull a digestible summary from text you extracted out of a PDF or DOCX
Frequently asked questions
Does my text get uploaded?
No. Summarization runs in your browser on your device, so the source text never leaves your machine.
What format does it accept and return?
It takes plain text in and returns a plain-text summary you can copy or chain onward.
How long can the input be?
It handles long passages, but extremely long documents may need to be split into sections and summarized in parts for best results.
Is it abstractive or just extractive?
It generates a condensed summary rather than only pulling sentences verbatim. Always skim the output against the source for accuracy on important details.
Why might the hosted Pro version be better?
The hosted Llama-class Summarize Pro tool produces higher-quality summaries, especially on dense or technical material, at the cost of credits.
What languages does it work on?
It is tuned primarily for English. Translate other-language text first if the summary quality is poor.
Keywords
- summarize
- summary
- condense
- abstract
- tldr
- nlp
- shorten