AI Extract
AI Extract is designed for structured extraction. When you already know what content you want to inspect, AI Extract helps you turn that source into predictable machine-readable output.What AI Extract is for
Use AI Extract when you want to:- extract fields from a webpage
- convert unstructured content into JSON
- normalize profile, company, or product data
- capture information into a predefined schema
- power internal data collection workflows
- extract company information from a website
- parse a profile page into structured fields
- collect product data from landing pages
- transform rich page content into normalized records
How it works
You provide the target content plus the structure you want back. NeuralVerge then:- reads the source
- applies the extraction logic
- maps the result into the requested schema
- returns structured output you can use in downstream systems
Why teams use AI Extract
AI Extract is useful when free-form summaries are not enough. It helps teams build reliable pipelines for:- CRM enrichment
- lead qualification
- catalog building
- internal databases
- compliance intake workflows
Inputs
Extraction workflows typically include:- a source or page to inspect
- extraction instructions
- a JSON schema or structured field definition
- optional settings that control extraction behavior
Outputs
AI Extract responses can include:- a
humanexplanation or summary - a
machinepayload containing extracted fields - schema-aligned JSON for downstream usage
- usage metadata such as points
When to choose AI Extract
Choose AI Extract when:- you already know the source to inspect
- you need a defined output shape
- the main goal is structured data capture