From URL to database in just under five minutes

Introduction Step 1: Input

You start with a simple input:

• A URL

• A document

• A dataset

Step 2: Interpretation

Instead of relying on fixed selectors, the system analyzes the content. It identifies patterns, relationships, and context — much like a human would.

Step 3: Extraction

Relevant data is pulled based on meaning, not position. This allows the system to:

• Handle layout changes

• Work across formats

• Adapt to inconsistencies

Step 4: Structuring

The extracted data is organized into a clean schema:

• Tables

• Fields

• Consistent formats

Step 5: Delivery

The final output is ready to use:

• Exported

• Stored

• Integrated into your workflow