Documentation Summarizer
A 6,000-Word Docs Page — Down to the Points You Need.
API references and guides are written for completeness but read for three facts: parameters, limits, gotchas. Send a documentation URL to @vustSummaryBot and get the page's own structure back as scannable key points — parameters, limits and the caveats the page buries in prose.
Honest scope
A docs summarizer — not an OpenAPI parser
The summary compresses what the page says in prose: it doesn't execute code samples, resolve specs, or verify an endpoint still behaves as documented. One page per pass, up to roughly 5,000 words — an explicit truncation notice beyond. Auth-walled docs only work via pasted text. If you need machine-parsed schemas, that's a different tool; if you need to know what the page actually says, fast — this is it.
See the difference
Real docs pages — and what a summary leaves you with.
Turn a long docs page into the part you actually need
- Developers on a deadline
- A 6,000-word API reference stands between you and one integration decision
- Paste the doc URL and get the page's own structure back as key points — what the endpoint does, its required inputs, and the warnings the page buries in prose.
- Dev-tool evaluators
- Comparing two libraries means reading two sets of docs end to end
- Summarize each library's getting-started and limits pages into parallel briefs, then decide with the differences in front of you instead of forty open tabs.
- Non-native English readers
- The docs exist only in English and skimming them is slow
- The structured summary comes back in your language — the terminology stays, the reading time doesn't.
How doc summarization works
- 01
Paste the docs URL or the text
Send a documentation page link (or paste the text) to @vustSummaryBot. Pages are fetched directly, with a reader-mode fallback for hard-to-scrape sites.
- 02
Get the doc's structure back, compressed
The summary follows the page's own sections — setup, parameters, limits, the caveats the page itself calls out — as scannable key points, not a one-line TL;DR.
- 03
Auth-walled? Paste the text
Public pages fetch by URL; docs behind a login or paywall take one copy-paste of the relevant section — same structured brief either way.
Summarize a docs page in Telegram
Send a documentation URL to @vustSummaryBot and get its sections back as key points — free to start, no card.
Honest scope — what this is and isn't
A summarizer, not a code-aware parser
The output condenses what the page says — it doesn't execute code samples, resolve OpenAPI specs, or verify that an endpoint still behaves as documented. For a page that is 90% code blocks with no prose, there's little to summarize; it shines on reference pages that explain things in paragraphs.
One page per pass, ~5,000 words
A summary covers one URL or pasted text at a time, up to about 5,000 words — beyond that you get a clear truncation notice, not a silent cut. Whole-docs-site ingestion and cross-page questions aren't a feature, and we won't imply they are.
Auth-walled docs need a paste
Pages behind a login or paywall can't be fetched by URL — copy the relevant section and paste it instead. Public docs pages, README files and knowledge-base articles fetch fine.
Frequently asked questions
Can it summarize API documentation, not just articles?
Yes — that's this page's job. Send a docs URL (an API reference, a library's guide, a knowledge-base page) to @vustSummaryBot and the summary follows the page's own sections: what the thing does, its parameters, its limits, and the caveats the page states in prose. It works best on reference pages that explain in paragraphs; a page that is pure code blocks has little prose to compress.
How long a page can it handle?
About 5,000 words per pass. Longer pages are summarized from the beginning up to that window and you get an explicit truncation notice — never a silently incomplete brief. For a very long reference, summarizing one section at a time (paste the section text) keeps full coverage.
Does it fetch the URL itself, or do I paste text?
Both work. Public pages are fetched directly, with a reader-mode fallback for sites that resist scraping. Docs behind a login, paywall or a closed corporate network can't be fetched by URL — copy the relevant section and paste it as text instead.
Will it extract every endpoint and parameter into a table?
No, and we won't pretend it does. This is a summarizer: it compresses what the page says, keeping the page's structure — it is not an OpenAPI parser and doesn't build exhaustive parameter tables or validate schemas. What you get is the readable version of the page: key points, limits, warnings, in order.
Can I get the summary in Russian (or another language) from English docs?
Yes. The summary language follows you, not the source — an English-only reference page can come back as structured Russian notes with the technical terms kept in English where translating them would hurt (endpoint names, parameter names, error codes stay as-is).
How is this different from /summary/pdf and /summary/article?
Same engine, different source shape. /summary/pdf takes uploaded files (research papers, reports, up to 50 pages); /summary/article targets long-form prose journalism; this page is for developer-facing web documentation — API references, guides, README-style pages — where what you need back is parameters, limits and caveats rather than an argument's storyline.
Summarizer, docs retrieval, web search or a coding chat — which one?
Four different jobs. A summarizer (this page) compresses one documentation page you already have into its decisions and caveats. Version-pinned docs retrieval — what services like Context7 do — fetches the current documentation slice for an exact library and version, feeding an AI tool at answer time. Web search finds today's pages but pins no version. And a coding chat like @vustbot reasons over whatever you paste. If your question is «what does THIS page say» — summarize it; if it is «what is the current API for library X vY» — that is retrieval, not summarization.
Summarize any source on one Balance.
Ready when you are
The docs, minus the reading time.
Paste a documentation URL and get a structured brief of what it actually says — parameters, limits, caveats — in Telegram, in your language.