Extract structured data from PDFs and get exact page references with highlighted snippets. Enable human verification in seconds, not minutes.
No training on your documents. Files deleted after processing. Self-host available for full data control.
quarterly performance exceeded
expectations with total
revenue reaching $4.2M
representing a 23% increase
from the previous fiscal year.
Simple API Integration — Send a PDF + schema, get structured data with citations.
Your model extracts data in seconds. But your users still ask: "Where did that come from?"
LLMs return plausible values that aren't in the document. No warning, no uncertainty flag.
Hunting through a 50-page PDF to find one value doesn't scale.
"The AI said so" isn't defensible in regulated workflows.
When users can verify in one click, they trust and use the tool.
LLM hallucinations aren't going away, researchers have proven they're structurally inevitable. That's why verification matters. See the paper →
There's a gap between what LLMs output and what your users can trust. The solution? A verification layer that connects every extracted value back to its source, instantly and verifiably.
CiteLLM is the missing layer between model output and human trust.
Every field extracted. Every source cited. Every claim verifiable.
User scrolls through entire PDF trying to find where each value appears
User clicks any field and instantly sees highlighted source in PDF
The best AI workflows don't replace humans, they empower them. CiteLLM gives your reviewers superpowers: approve, flag, and export results with confidence.
No more scrolling through documents. Click → See source → Verify. Done.
Confidence scores highlight uncertain extractions so reviewers prioritize their attention.
Every verification is logged. Show auditors exactly who reviewed what, and when.
When users can see the proof, they adopt the tool. Adoption drives ROI.
A complete toolkit for building trustworthy document AI.
Every extracted field comes with exact page numbers and bounding boxes for the source text.
Click any extracted entity to instantly jump to the PDF location with the source snippet highlighted.
Sensitive documents never leave your infrastructure. Deploy via Docker in your own environment.
Send a PDF and your extraction schema. Get back structured data with citations. That's it.
Drop our React/JS widget into your app for instant side-by-side verification UI.
Each extraction includes confidence metrics so you know when to flag for human review.
Add verifiable citations to your document extraction with a single API.
Upload a PDF and define what you want to extract using a simple JSON schema.
Our system extracts data and maps each field back to its exact location in the source document.
Use our widget or API response to let users click-to-verify any extracted value.
Get started with just a few lines of code.
{
"document": "base64_pdf...",
"schema": {
"company_name": { "type": "string" },
"revenue": { "type": "number" }
}
}{
"data": {
"company_name": "Acme Corp",
"revenue": 4200000
},
"citations": {
"company_name": {
"page": 1,
"bbox": [72, 120, 280, 145],
"snippet": "Acme Corp Annual...",
"confidence": 0.97
},
"revenue": {
"page": 8,
"bbox": [300, 245, 420, 270],
"snippet": "Total Revenue: $4.2M",
"confidence": 0.95
}
}
}Base64 encode or use a URL
Specify fields to extract
Every value with source proof
Where accuracy isn't optional.
Extract and verify income, assets, and liabilities from financial statements. Auditable proof for every data point.
Pull key terms from contracts with exact clause references. Never misquote a contract again.
Process claims documents with verifiable extractions. Speed up review while maintaining accuracy.
Cloud API for speed. Self-hosted for control.
Your data never leaves your infrastructure.
Pay for what you use. Scale as you grow.
Join teams who trust their AI document workflows because they can verify every extraction.