Extract any metadata you need from your documents using AI. Define custom schemas and let Iris pull out product specs, invoice details, contract terms, or any structured information buried in unstructured text.

Every document contains structured information that could make your AI searches precise and powerful. But without extraction, it's all just text.
Without Metadata Extraction
Query: "invoices over $50,000"
Results: Anything semantically similar to "invoices over $50,000"
With Metadata Extraction
Query: invoice_amount > 50000
Results: Only actual invoices with amounts exceeding $50,000
Define what matters to your business. Iris will find it in every document.
INV-2024-0152
From:
Acme Corp
123 Tech Street
San Francisco, CA 94105
To:
Your Company Inc
456 Business Ave
New York, NY 10001
| Item | Qty | Price | Total |
|---|---|---|---|
| Server Rack 42U | 5 | $15,000 | $75,000 |
Total: $75,000.00
{
"document_metadata": {
"invoice_number": "INV-2024-0152",
"vendor_name": "Acme Corp",
"total_amount": 75000,
"due_date": "2024-03-15"
},
"sections": {
"line_items": [
{
"product_name": "Server Rack 42U",
"quantity": 5,
"unit_price": 15000
}
]
}
}No complex rules or regex. Just tell us what you want to extract.
Use our visual editor to define what data you want to extract. Start from templates or let AI suggest a schema.
Upload sample documents and see extracted results instantly. Refine your schema until it captures exactly what you need.
Enable metadata extraction in your RAG pipeline. Every document will be analyzed and enriched automatically.
Filter and search using extracted metadata. Find invoices by amount, contracts by date, or specs by product.
Pre-built schemas for invoices, receipts, contracts, and more
Upload a document and let Iris suggest the perfect schema
Define any field type: strings, numbers, arrays, or nested objects
Upload a document to see extracted metadata in real-time...
Turn unstructured text into actionable business data
Your first schema is free. See how much value is hidden in your documents.