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Summarize and compare multiple PDFs in one go

Upload a stack of PDFs and ask once. Rixx summarizes each file, merges them into one view or lines them up in a comparison table, with every point referenced to the file and page it came from.

Jobs to try

  • Compare research papers: Compare the attached research papers on method, sample size, setting, main findings and limitations they state. Deliver a comparison table and a one-page Word memo with page references.
  • Annual reports across years: The attached PDFs are five years of one company's annual reports. Track revenue, margin, headcount and guidance across the years in an Excel table, with the page for each figure, and summarize what changed.
  • Compare two contracts: Compare the two attached contract versions. List every clause that changed, what it said before and after, and which changes favour us, with page references.
  • Vendor proposals side by side: Compare the four attached vendor proposals on price, scope, timeline, support terms and exclusions in one table, then recommend a shortlist with reasons and page references.
  • Themes across interviews: The attached PDFs are 12 customer interview transcripts. Find the recurring themes, count how many interviews mention each one, and quote the strongest example of each with file and page.

What you get back

  • Per-file and combined summaries: A short summary of each PDF, then one combined summary of what the set says together, with file and page references on every point.
  • Comparison table: One row per document and one column per question you care about, in chat or as an Excel workbook you can sort and filter.
  • Agreements and contradictions: Where the documents agree, where they conflict and what each one leaves out, so you see the disagreements before a reader does.
  • Memo or workbook: A Word or PDF memo with real headings, or an Excel file, with the references kept inside, rendered and reviewed before it reaches you.

Researched and cited by default

No search toggle and no research mode to switch on. Rixx researches the live web before it answers a factual question, reads the files you give it, and cites every fact it uses.

Summarizing one PDF is easy. The real work starts when you have six of them: papers that use different methods, contracts that changed between drafts, or five years of annual reports. You need to know what each one says, what they say together and where they disagree.

Rixx reads the whole set in one chat. It keeps track of which point came from which file and page, so a combined summary is still traceable back to its sources.

How to summarize multiple PDFs at once

Step 1: Upload all the files. Attach up to 5 files per upload, 50 MB each, and keep adding to the same chat up to 100 documents. Each PDF can run to 1,000 pages. Word, PowerPoint, Excel and CSV files can join the same set.

Step 2: Choose the shape of the output. Say which of these you want, or ask for several:

Output Best for
Per-file summaries A reading list or a quick triage of a stack
One combined summary A briefing on what the set says as a whole
Comparison table Proposals, contracts, papers or reports with the same structure
Common themes Interviews, survey responses, feedback documents
Contradictions Due diligence, literature reviews, checking a story holds up

Step 3: Name the questions that matter. A comparison table is only as good as its columns. "Compare on price, scope, timeline and exclusions" gets a sharper result than "compare these".

Step 4: Check the references. Every point carries a file and page reference. Open the passages behind the points you plan to rely on.

Step 5: Export. Ask for a Word or PDF memo, or an Excel workbook with one row per document. A job builds the file in the background and reviews it before handing it back.

Chat with multiple PDFs

After the first summary, keep asking. The documents stay loaded, so follow-up questions work across the whole set:

  • "Which of these papers had the largest sample?"
  • "Do any of the contracts allow termination without cause?"
  • "Which report gives the most recent market size, and how does it differ from the others?"
  • "Quote what each interviewee said about onboarding."

Each answer says which file it drew from and points to the page.

Compare two PDFs with AI

Comparing two versions of one document is a special case, and a common one: contract redlines, policy updates, a revised paper. Ask Rixx to:

  • list every section that changed, with the old and new wording;
  • explain the practical effect of each change in plain English;
  • flag the changes that shift risk or cost, and to whom;
  • produce a change table with page references for both versions.

For long documents, ask for the comparison section by section so nothing is skimmed.

Compare documents with AI, then check them against the web

Most tools compare documents only with each other. Rixx can also research the live web in the same job, which matters when your documents are out of date or disagree:

  • "Two of these reports give different market sizes. Find the most recent published figure and cite it."
  • "Check whether the companies named in these pitch decks still offer the products described."
  • "For each paper, find whether a newer study has replicated or challenged the result."

The output keeps document references and web citations separate, so you can see which claims come from your files and which from current sources.

Worked example: five annual reports

Say you upload five years of a company's annual reports and ask for a trend summary.

  1. Rixx reads each report and pulls revenue, operating margin, headcount, segment results and guidance, noting the page for each figure.
  2. In a job, it runs Python to line the figures up by year and calculate growth rates, so the arithmetic is computed rather than estimated.
  3. It writes a summary of what changed: which segments grew, when guidance shifted and what management said about it, quoting the relevant pages.
  4. It returns an Excel workbook with the figures, a chart of the trend and a sources column, plus a one-page Word memo.

The same pattern works for proposals, policies, papers and interview transcripts.

Tips for multi-document summaries

  • Name the files clearly before uploading. "Vendor-A-proposal.pdf" makes references easier to read than "scan_0042.pdf".
  • Fix the columns first. Decide the three to six questions you want answered for every document.
  • Ask for a "not mentioned" marker. Gaps in a comparison table are often the most useful finding.
  • Use one chat per set. Adding documents to the same chat keeps the comparison in one place.
  • Ask for quotes on disagreements. When two documents conflict, see both passages side by side.

Want depth on a single file? See AI document analysis. Need to analyse numbers from spreadsheets instead? Use AI for data analysis.

Frequently asked questions

How many PDFs can I summarize at once?

You can upload 5 files at a time, up to 50 MB each, and keep adding to the same chat up to 100 documents. Each PDF can be up to 1,000 pages.

Can AI compare two documents and show the differences?

Yes. Ask Rixx to compare two versions of a document and it lists what changed, the old and new wording, and the effect of each change, with page references for both files.

Will I know which PDF each point came from?

Yes. Points in a combined summary carry a reference to the file and page they came from, and the same references stay in exported memos and workbooks.

Can I chat with multiple PDFs after the summary?

Yes. The documents stay loaded in the chat, so you can ask follow-up questions across the whole set and get answers that name the file and page.

Can I export the comparison?

Yes. Ask for an Excel workbook with one row per document, or a Word or PDF memo. Rixx renders and reviews the file before handing it back.

Can I mix PDFs with other file types?

Yes. Word, PowerPoint, Excel, CSV and image files can sit in the same set as your PDFs.

Is it free to try?

Yes. Every plan, including Free, gets every feature. Free includes 50 credits a day plus 500 a month. A quick cited answer uses a few credits; a job that reads many files and builds a memo uses more. See pricing.