Advanced Document Extraction

See through document complexity

Vectorize Iris transforms your most complex documents into perfectly structured data. Our model-based extraction gives your RAG applications the cleanest, most accurate context possible.

Simple Integration

From complex documents to perfect data

Four automated steps powered by advanced AI. No configuration, no training required.

01

Upload Documents

Send any document type through our API - PDFs, images, scanned files. No preprocessing or configuration needed.

02

AI Analysis

Our models understand layout, tables, images, and text structure to determine the optimal extraction approach.

03

Smart Extraction

Content is intelligently extracted while preserving semantic relationships, formatting, and document context.

04

Structured Output

Receive clean markdown with preserved formatting, ready for your RAG pipeline or direct LLM consumption.

# Example API Request
response = extraction_api.start_extraction(
    "your-organization-id", 
    start_extraction_request=v.StartExtractionRequest(
        file_id=start_file_upload_response.file_id
    )
)

# Response
{
  "ready": true,
  "data": {
    "success": true,
    "text": "string",
    "metadata": "string",
    "metadataSchema": "string",
    "chunksMetadata": [
      "string"
    ],
    "error": "string"
  }
}

Everything you need for perfect extraction

Iris uses state-of-the-art AI models to understand and extract content from your most complex documents, delivering clean, structured data ready for RAG applications.

Model-based extraction
Combines extraction and chunking in one intelligent process. Our AI models understand document structure to preserve semantic relationships and context.
Complex PDF mastery
Handles multi-column layouts, nested tables, and mixed content types. Maintains reading order and context across the most complex documents.
Precise table parsing
Accurately extracts tables with merged cells, multi-headers, and nested structures. Converts complex tables into clean, queryable data structures.
Image & diagram analysis
Processes standalone images and PDFs with embedded visuals. Extracts both visual information and associated text with full context preservation.
Semantic preservation
Maintains text semantics when converting to markdown. Gives LLMs cleaner context for more accurate responses and better reasoning.
Replace multiple tools
One solution instead of separate OCR, parsing, and chunking tools. Streamline your pipeline with a single, intelligent API.

See the Difference

Why teams choose Iris

Traditional tools break document structure. Iris preserves everything that matters.

Traditional Extraction

Lost table structure
Missing image context
Broken text flow
No semantic understanding
Title: Annual Report
Text from page 1...
TABLE DATA HERE
More text...
[IMAGE]
Final text...

Iris Extraction

Perfect table preservation
Image descriptions included
Maintained reading order
Semantic relationships intact
# Annual Report 2024

## Executive Summary
The fiscal year demonstrated strong growth across all segments...

### Q4 Performance Metrics
| Department | Revenue | Growth | Target |
|------------|---------|--------|--------|
| Sales      | $2.4M   | +23%   | ✓      |
| Marketing  | $1.8M   | +18%   | ✓      |
| Support    | $0.9M   | +12%   | ✓      |

![Chart: Revenue growth visualization showing upward trend]

The sustained momentum indicates...

Multi-column PDFs

Perfect layout preservation

Complex tables

Structure maintained

Images & charts

Context preserved

Enterprise-grade performance

Built for scale, designed for accuracy, trusted by leading teams.

Extraction accuracy

99.2%

On complex multi-page documents

Faster processing

85%

Compared to traditional pipelines

Document types

30+

PDFs, images, scanned files

Languages

50+

Global document support

5 out of 5 stars

"Vectorize passed this test with flying colors. It basically took a paper jam in a fax machine and produced everything exactly correct."

Pavan Belgatti
Pavan Belgatti
Singlestore

Compare Solutions

Why settle for broken extraction?

See how Iris compares to traditional document processing pipelines.

Traditional Pipeline

OCR + PDF Parser + Text Processor + Chunker

Complexity

High complexity, multiple failure points

Maintenance

Constant updates and fixes required

Accuracy

70-80% accuracy on complex docs

Vectorize Iris

One intelligent API for everything

Complexity

Simple integration, reliable results

Maintenance

Continuously improving AI models

Accuracy

99%+ accuracy across all document types

Feature-by-Feature Comparison

How Iris compares to traditional OCR + parsing pipelines

Feature
Traditional Tools
Vectorize Iris

Document Handling

Multi-column PDFs
Poor support
Excellent support
Complex table extraction
Basic support
Excellent support
Image and diagram processing
Not supported
Excellent support
Scanned document OCR
Basic support
Excellent support

Data Quality

Semantic relationship preservation
Not supported
Excellent support
Markdown formatting output
Not supported
Excellent support
Context-aware chunking
Not supported
Excellent support
Maintains reading order
Poor support
Excellent support

Integration & Performance

Single unified API
Not supported
Excellent support
No preprocessing required
Not supported
Excellent support
Direct RAG integration
Poor support
Excellent support
Batch processing support
Basic support
Excellent support
Excellent
Basic
Poor
Not Supported

Ready to transform your document processing?

Join teams who trust Iris to extract perfect data from their most complex documents. See why we're the intelligent choice for enterprise RAG.