Text Summarizer — This summarizer uses a compact local model loaded into your browser on first use. Once the model is downloaded, inference runs entirely on your device — no network call, no API key, no server.
Runs entirely on your device. The model is downloaded once to your browser cache, then runs offline. Nothing is sent to a server.
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What is text summarizer?
This summarizer uses a compact local model loaded into your browser on first use. Once the model is downloaded, inference runs entirely on your device — no network call, no API key, no server.
The model is a distilled summarization network fine-tuned for the everyday short-to-medium length texts that show up in articles, blog posts, and emails. After the first run, the weights are cached in your browser and subsequent runs are sub-second.
How to use it
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Paste your text
At least 30 words. For longer inputs, split into chunks.
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Click Summarize
The first run downloads the model to your browser. After that it is cached and runs offline.
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Read the summary
The result shows the input and summary side-by-side with a compression ratio. Copy with one click.
Examples
Summarize a news article
Drop in any article body, get a 3-5 sentence summary that captures the key points.
A long article body goes here... (sample input)
Result: Short summary capturing the main idea in 2-3 sentences.
Frequently asked questions
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Last reviewed: 2026-08-27