Upload Your Documents. Ask Anything. Get Real Answers.
Upload Your Documents. Ask Anything. Get Real Answers.
You upload 30 contracts to an AI tool. You ask "what's the liability cap in the Acme agreement?"
The AI says: "Which document are you referring to?"
That's the state of AI document search in 2026. You do the work of uploading everything, and the tool still can't figure out where to look.
Or worse — it gives you a confident answer pulled from the wrong document. No citation. No way to verify. Just vibes.
We built Wysor's knowledge base to actually work. Upload your files, ask questions in plain English, get answers with exact citations. No babysitting required.
The Problem With Every Other Document AI
You've probably tried this: upload a PDF, ask a question, get a vaguely related paragraph that doesn't actually answer what you asked.
That's because most AI document tools use one search strategy for every question. Conceptual question? Same strategy. Looking for a specific clause number? Same strategy. Asking about a chart? Same strategy — except the tool can't even see charts.
Here's what breaks:
"Find clause 7.3.2 in the service agreement." You get paragraphs vaguely related to service agreements. Not the actual clause. The AI matches on meaning, not precision — so reference numbers, IDs, and exact terms get lost.
"What does the chart on page 12 show?" You get nothing useful. The tool extracted the text from your PDF and threw away every visual. Charts, graphs, diagrams, scanned notes — gone. The AI literally cannot see them.
"What did the Q3 report say about margins?" Across 20 uploaded documents, the tool either guesses randomly or asks you to pick the right file. Defeating the entire purpose.
These aren't rare edge cases. This is what happens every day with real documents and real questions.
How Wysor's Knowledge Base Actually Works
Wysor's document agent doesn't use one search strategy. It thinks about your question first, then decides how to find the answer.
Conceptual questions — "What's our company's approach to sustainability?" — get a meaning-based search across all your documents.
Exact references — "Find clause 7.3.2" or "What did Sarah Johnson say in her email?" — get a precision keyword search that matches exact terms.
Visual questions — "What does the chart on page 12 show?" — the agent actually looks at the page. More on this below, because this is the big one.
Cross-document questions — "What frameworks did we recommend across all client projects?" — the agent searches everything, pulls from multiple files, and synthesizes one answer with citations from each source.
Broad questions — "What documents do I have about pricing?" — the agent checks what's available, then searches intelligently instead of guessing.
And if the first search doesn't find a strong answer, the agent tries a different approach. It doesn't just give up or hallucinate.
We Can See Your Charts. Nobody Else Can.
This is the capability we haven't seen anywhere else. Not ChatGPT. Not Claude. Not Notion AI. Not any document AI tool on the market.
When you upload a PDF to any other AI tool, the text gets extracted and everything visual disappears. Financial charts — gone. Org diagrams — gone. Architecture drawings, handwritten margin notes, scanned forms, infographics — all invisible to the AI. It's like reading a textbook with every image ripped out.
Think about how much information lives in visuals. Revenue trends. Organizational structures. Process flows. Data comparisons. Performance dashboards. Floor plans. In many business documents, the visuals ARE the document. The text is just context around them.
Every other tool throws that away. Every single one.
Wysor doesn't.
When you ask about something visual, Wysor's agent looks at the actual page — axes, labels, data points, colors, layout — and describes what it sees with real numbers and real detail.
Your CFO asks: "Show me the revenue trend from the Q3 deck."
Other tools say: "I found some text mentioning revenue on page 7." Maybe. If you're lucky.
Wysor says: "The Q3 Financial Review shows revenue growing from $2.1M in Q1 to $3.4M in Q3, with the sharpest increase between Q2 and Q3. The chart on page 7 shows a 62% increase over the period." Cited. Verifiable. From the actual chart.
That's not a marginal improvement. That's the difference between a tool that reads your documents and a tool that actually understands them.
Scanned contracts with handwritten amendments? Readable. Complex engineering diagrams? Understood. Financial models with embedded charts? Interpreted with actual figures.
No More "Which Document?"
Upload 20 documents. Ask a question. The answer should just... come back. With the source document and page number attached.
That's how Wysor works. Every answer includes a citation — which document, which page. You know exactly where the information came from. You can verify it in seconds.
The agent never asks "which document are you referring to?" It searches across your entire knowledge base by default. If the answer is in document 14, page 3 — that's what you get.
"What's our refund policy?" Found in the customer handbook, page 8.
"When does the lease expire?" Found in the Acme Properties agreement, clause 4.1.
"What did the Q3 report say about margins?" Found in Q3 Financial Review, page 12 — with the chart data included.
You just ask. The agent finds it.
Real Teams, Real Documents
Legal teams upload 30 contracts. A partner asks "what's the liability cap in the Acme agreement?" The agent finds clause 8.2 in the right document, pulls the full context, and answers with the exact dollar amount and conditions. Cited. No hallucination.
Finance teams upload quarterly reports with embedded charts. The CFO asks about revenue trends from a specific deck. The agent finds the chart, reads the visual, and reports actual numbers — not a summary of nearby text. No other tool can do this.
Consulting firms upload client deliverables. An analyst asks "what frameworks did we recommend across all client projects?" The agent searches every document, pulls relevant sections from multiple files, and synthesizes one clear answer with citations from each source.
HR teams upload policy documents. An employee asks about parental leave. Instead of digging through a 200-page handbook, they get the exact policy with the page reference.
Architecture and engineering firms upload blueprints and technical drawings. Ask about a specific detail — the agent sees the drawing and describes what's there. Try that with ChatGPT.
None of this requires knowing which document, which page, or how to phrase the query. Just ask like you'd ask a colleague who's read everything — and looked at every chart.
This Should Have Existed Years Ago
Every hour someone spends searching through documents is an hour not spent on actual work. And when they can't find what they need — or when the AI misses the answer because it was in a chart — they make decisions without the right information.
Wysor's knowledge base agent gives your team instant access to everything you've uploaded. Contracts, reports, policies, proposals, research — all searchable, all cited, all including the visuals that every other tool ignores.
Available on every Wysor plan. Upload your documents and ask your first question — you'll see the difference immediately.
