Extract structured data from PDFs and get exact page references with highlighted snippets. Enable human verification in seconds, not minutes.
quarterly performance exceeded
expectations with total
revenue reaching $4.2M
representing a 23% increase
from the previous fiscal year.
You're building AI-powered document workflows. Your users love the speed. But there's a problem no one wants to talk about.
A fintech company uses an LLM to extract income data from bank statements for loan underwriting. The model extracts "$85,000 annual income" from an applicant's document.
Language models don't say "I'm not sure." They output plausible-sounding data that may be completely fabricated. Studies show 15-27% hallucination rates on document extraction tasks. In regulated industries, even 1% is unacceptable.
If your team has to manually cross-reference every LLM output against the source PDF, you've eliminated most of the efficiency gains. A reviewer opening a 50-page document to find where "$85,000" appears takes 10-15 minutes. Per field. Per document.
Auditors, regulators, and courts don't accept AI outputs at face value. You need provenance. You need to show exactly where each data point came from. Without citations, your AI workflow is a liability, not an asset.
Loan officers, lawyers, and claims adjusters won't adopt tools they can't verify. They need to see the source. They need to click and confirm. Without that, adoption stalls and your AI investment sits unused.
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.
That's what CiteLLM provides.
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
Click on any extracted field to see how instantly you can verify the source.
Financial Performance Summary
The fiscal year 2024 marked a significant milestone for our organization.
Our strategic initiatives delivered strong results across all key metrics.
Total annual revenue reached $4.2 million, representing a 23% year-over-year increase
from our 2023 figures. This growth was primarily driven by expansion
into new market segments and improved customer retention rates.
Net profit margin improved to 18.5% from 15.2% in the prior year,
reflecting our continued focus on operational efficiency.
Try it: Click on any extracted field on the left to instantly jump to and highlight its source in the PDF.
The best AI workflows don't replace humans. They empower them. CiteLLM gives your reviewers superpowers:
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, line references, 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.
Three simple steps to verified LLM outputs.
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" },
"fiscal_year": { "type": "date" }
}
}{
"data": {
"company_name": "Acme Corp",
"revenue": 4200000
},
"citations": {
"company_name": {
"page": 1,
"snippet": "Acme Corp Annual...",
"confidence": 0.97
}
}
}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.