Make every PDF your AI’s knowledge.
Drop in a research paper, a 200-page report, a contract, an ebook. Get a structured summary in seconds. Chat with it. Search it. Add it to a pod that any AI — Claude, ChatGPT, or Summify itself — can quote from.
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Long PDFs are where reading dies.
The paper is 47 pages. The report is 184. The contract is 62 with three exhibits. You need the takeaways before tomorrow’s call. You skim the abstract. You ctrl-F for the term you half-remember. You miss the thing on page 31 that would have changed the answer. And the next time you need that document, you’ll do it all again — because there’s no version of it that’s searchable, queryable, or quotable. It’s just a PDF in a folder.
A PDF you can actually use.
Drop the PDF in. Summify extracts the structure, summarises every section, and indexes every word. Read the summary in two minutes. Ask the document a question and get the exact passage back with a page citation. Add it to a pod with related documents and ask questions across all of them.
How it works
Drop the PDF in
Drag and drop, or use the file picker. Research papers, reports, ebooks, contracts, manuals, slide decks exported as PDF — anything text-based works. Long documents are encouraged.
Get the structured summary
Within seconds you have a structured breakdown — key takeaways, main arguments, methodology where relevant, conclusions, and the evidence behind each. Pick the summary style that fits the document type.
Chat, search, or connect
Ask the document questions and get cited answers. Search every page semantically. Add the PDF to a pod, and every connected AI — Claude, ChatGPT, Cursor, Summify's own chat — can quote from it.
Why Summify
Any length, any density
5-page memo or 500-page report. Same flow. No page caps.
Structured summaries
Key takeaways, arguments, methodology, conclusions. Not just a wall of text.
Multiple summary styles
Academic, business, narrative, brief — pick what fits the document.
Page-level citations
Every quoted passage cites the exact page. Click to jump.
Semantic search
Find the section about "X" without remembering which document had it.
Chat with the doc
Ask follow-ups. Pull quotes. Compare sections. Done in minutes.
Pods for literature reviews
Group related PDFs into a pod. Ask one question, get answers across all of them.
Queryable from any AI
Connect the pod to Claude, ChatGPT, or any MCP-compatible AI.
Turn the next PDF in your inbox into something you can actually use.
Free trial. Full access. Cancel anytime.
Built for the documents that don’t get read.
The 47-page strategy doc. The 184-page board pack. The 62-page contract. The ebook you bought eight months ago and never opened. These are the documents Summify was built for. Long, dense, and important — the ones where skimming loses you the thing that matters.
The research workflow, in pods.
Drop ten papers into a pod called "Glucose & ageing." Summify summarises each, indexes the findings, and gives you semantic search across the whole pod. Ask "what’s the consensus on intermittent fasting?" and get a single answer with citations across the relevant papers. Add a new paper to the pod and it’s instantly part of the answer.
Contracts, RFPs, and the documents you have to be exact about.
Some PDFs aren’t for skimming — they’re for answering precise questions exactly. "Where does this contract limit liability?" "What’s the cancellation clause?" "Does the RFP require SOC 2?" Summify lets you ask, and quotes the exact clause with the page number. Faster than ctrl-F. Less risky than guessing.
The same PDF, available in every AI you use.
Add a PDF to a Summify pod. Connect that pod to Claude, ChatGPT, Cursor, or any MCP-compatible AI. Now every one of those tools can quote from your PDF too — no re-uploading, no Custom GPT setup, no upload caps. Same document. Every AI. Every device.
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Read the PDF in two minutes. Use it forever.
Free trial. Full access. Cancel anytime.