Chat with PDF: Private AI Document Analysis for Confidential Files

You have a 60-page document open and a deadline that does not care. A supplier contract. A board report. A clinical study. A due-diligence pack. You want to ask it questions, pull out the risks, and get a summary you can actually act on.

So you do what everyone does. You drag the file into a chatbot.

Stop for one second. That document has names in it. Numbers. Terms nobody outside the deal is supposed to see. The moment you upload a confidential PDF is the exact moment the quiet question matters most: where does this file actually live, and who controls it after the answer comes back?

For most AI tools, the honest answer is "onto our servers, under our control." For Wysor, the answer is "into a private knowledge base that stays yours." Your documents are stored privately and encrypted in your own account, you query across all of them with cited answers, and you decide when they are deleted. That difference is the whole point of this post.

Why uploading a sensitive PDF is different from a normal chat

A throwaway question is low stakes. A document is not. When you analyze documents with AI, you are not sending a sentence, you are sending a complete artifact: the contract with the indemnity clause, the report with the unreleased figures, the patient file, the case bundle.

On a typical consumer AI plan, that upload gets logged on the provider's servers and held for days, months, or sometimes years. It can be queued for human review. On several plans it can feed the next model unless you found and flipped the right toggle. Deletion, where it exists, is a process that happens later, if at all.

That is fine for asking how to reword an email. It is not fine for a file that carries your client's name, your company's numbers, or someone's medical history. The risk was never the question you asked. The risk is the document you handed over to ask it.

What good AI PDF analysis should actually do

Privacy is the floor, not the feature. Once your file is safe, the work still has to be good. Strong AI PDF analysis means you can:

Summarize a long PDF down to the parts that matter, with the structure preserved instead of flattened into mush.
Ask targeted questions and get answers grounded in your documents, each one cited back to the file name and page it came from rather than invented.
Compare and cross-check across sections, or across many files at once, so an entire collection of documents becomes searchable in plain language.
Pull out specifics: dates, obligations, liabilities, defined terms, numbers, named parties.
Switch models for the job, because a dense legal clause and a financial table do not always want the same engine.

This is the difference between a toy summarizer and a tool you can put real professional work through. Wysor is built for the second one.

Built for messy, real-world documents

Most "chat with PDF" tools quietly assume a clean, digital, text-based file. Real professional documents are rarely that. They are scanned, photographed, hundreds of pages long, and full of tables and charts. Wysor is built for the messy ones.

Large files. Up to 100MB per document. A 200-page due-diligence pack or a full board binder goes in as a single file, not chopped into fragments you have to stitch back together.
Scanned documents and photos. A scanned contract, a faxed report, or a photo of a page taken on your phone is read automatically with OCR, so it behaves like a clean digital file. For a chart, a diagram, a stamp, or even handwriting, Wysor can analyze the page visually to read what a plain text layer would miss.
Tables and complex layouts. Multi-column pages, financial tables, and structured forms keep their structure instead of collapsing into a wall of jumbled text, so rows and numbers stay aligned with what they mean.
More than PDFs. Word documents, spreadsheets, slide decks, and plain text all work, plus website URLs and one-click import from Google Drive and OneDrive.
All of it, searchable together. Everything you add is processed and indexed into your knowledge base, so a single question can pull cited answers from across the entire collection, no matter which file or which page held the answer.

This is what turns "summarize this one PDF" into "ask anything across everything I have," even when the source material is a stack of scans.

AI for contracts and reports, without the data trail

Two document types come up again and again in professional work, and both are exactly the kind you do not want sitting on someone else's machine.

Contracts. Drop in an agreement and ask what you are actually signing. Where is the auto-renewal hidden? How wide is the non-compete? Who carries liability if it goes wrong? What changed between version four and version five? You get a plain-language read of dense legal text in minutes instead of an afternoon. The file stays in your private knowledge base, never queued for someone else's review or used to train a model.

Reports and filings. Board decks, financial statements, audit packs, research reports. Ask for a one-page executive summary, the three biggest risks, or every figure that moved quarter over quarter. Using AI for contracts and reports only works if the underlying documents stay confidential, and on Wysor they do, by default.

Same applies to research papers, regulatory submissions, medical records, and legal case files. If a document is sensitive enough that you would think twice before emailing it, it is sensitive enough to deserve a tool that keeps it private, encrypted, and under your control.

How Wysor keeps your documents private

We do not ask you to trust a setting. We build the protection into how the product works.

Your own private knowledge base. Your documents are stored durably and privately in your account, not lost inside a chat you will never find again. Upload many files into a collection, keep more than one collection, and query across all of them at once with answers cited back to the document name and page. The extracted text is encrypted at rest, and you stay in control of deletion: remove any single document, or wipe an entire collection, whenever you want.

Zero retention at the AI step. When the AI answers, the reasoning step runs with zero data retention. The model receives only what it needs to answer, returns the answer, and keeps nothing afterward. No logs, no backup copy, no retained training data on the provider's infrastructure. There is nothing for the model layer to subpoena because nothing is kept there. This is the level of protection large enterprises sign procurement agreements to obtain. On Wysor it is the default, not the upgrade.

We never train on your data. Not on free, not on paid, not on any plan. It is in our contracts, not a toggle you have to remember to flip.

EU-hosted processing. Many of our models run on servers inside the EU, so your document is analyzed on European infrastructure and your data does not have to leave the EU to be processed. You can see which models are EU-hosted on our models page. For teams under GDPR, professional secrecy rules, or sector regulation, that location is not a detail. It is the requirement.

Your choice of model. Wysor routes to Claude, GPT-5, Gemini, and a range of open-source models, each wrapped in an agreement that sets retention to the technical minimum. You pick the right engine for the document without giving up the privacy guarantee.

We built Wysor as the European alternative to ChatGPT precisely because this is what serious document work needs. If you want the longer version of the privacy argument, read our privacy comparison of ChatGPT, Claude, and Gemini.

How to chat with a PDF in Wysor

Build your knowledge base. Add PDFs, Word and text files, spreadsheets and slides, even scanned or image-only PDFs that are read automatically, plus website URLs or imports from Google Drive and OneDrive. Drop in one document or hundreds, up to 100MB per file, into a collection that stays in your account.
Ask in plain language. "Summarize this in one page." "List every obligation on the supplier." "What are the top risks across these reports?"
Go deeper. Follow up, compare sections, cross-reference across the whole collection, or ask for the exact clause and page behind an answer.
Use the output. Take the summary, the risk list, or the extracted terms straight into your work.

That is the entire workflow. The part that counts: your documents stay in your private, encrypted knowledge base, ready for the next question, while the AI step that produces each answer keeps nothing.

A quick comparison

	Typical AI PDF tool	Wysor
What happens to your file	Logged and stored on provider servers	Stored privately in your own encrypted knowledge base, and you control deletion
When the AI answers	Request may be logged or reviewed	Zero retention, never trains on your data
Training on your documents	Often on by default, or opt-out	Never, on any plan
Where it is processed	Usually US servers	EU-hosted for many models
Model choice	Single model	Claude, GPT-5, Gemini, open-source
Documents it handles	Clean, digital PDFs	Large PDFs, scanned docs, photos, tables, slides, spreadsheets
Built for	One-off summaries	A reusable knowledge base across many documents

FAQ

Can I chat with a PDF and ask questions about its contents? Yes. Upload one document or build a whole collection, then ask questions in plain language. Wysor answers from the contents of your documents and cites the file name and page, so you can summarize, extract terms, or dig into a specific section across all of them.

Is it safe to upload confidential contracts or reports? That is exactly what Wysor is built for. Your documents are stored privately in your encrypted knowledge base and you control deletion. The AI step that answers runs with zero data retention by default and is never used to train models. Many models run on EU-hosted infrastructure for teams with GDPR or professional-secrecy obligations.

Can it summarize a long PDF? Yes. You can ask for a one-page summary, an executive brief, or a section-by-section breakdown of a long document, and follow up to go deeper anywhere.

Can it handle scanned documents, tables, and very large files? Yes. Wysor reads scanned PDFs and photographed pages with OCR, so a scan behaves like a clean digital file, and it can analyze a page visually to read a chart, a diagram, or even handwriting. Tables and multi-column layouts keep their structure instead of turning into jumbled text, and files can be up to 100MB each, from a short letter to a large due-diligence pack.

Does Wysor keep my documents after I close the chat? Yes, on purpose. Your documents live in your private, encrypted knowledge base so you can come back and keep querying them across sessions. They stay yours to delete at any time, by single document or by whole collection. Separately, the AI step that generates each answer runs with zero data retention and never trains on your data.

Which file types and models can I use? You can work with PDFs, Word and text files, spreadsheets and slides, scanned or image-only PDFs that are read automatically, website URLs, and imports from Google Drive or OneDrive, up to 100MB per file. Route the analysis to Claude, GPT-5, Gemini, or a range of open-source models, choosing the best engine for the document in front of you.

Keep reading

Your documents carry your clients, your numbers, and your obligations. They deserve an AI that keeps them private and under your control, reads across all of them carefully, and trains on none of it.

Get started with Wysor →