Data Extractor

What It Does

Turn unstructured text into structured JSON with AI. Send any free-form text — emails, documents, chat messages, log entries, form responses — and get back clean, typed data fields. No regex, no parsing code, no brittle rules.

How It Works

1. Send unstructured text to your proxy endpoint
2. Knowledge context — if you've uploaded schema examples or field definitions, the AI uses them to understand your specific data model
3. AI extraction — identifies entities, dates, amounts, relationships, and key facts from the input
4. Structured JSON — returns clean, typed data ready for your database or API

Use Cases

• Email processing — extract sender, intent, action items, and deadlines from customer emails
• Document parsing — pull key fields from contracts, invoices, reports without building custom parsers
• Log analysis — structure error logs, audit trails, and system events into queryable data
• Form normalization — standardize free-text form responses into consistent fields

Compared to Regex

Regex breaks when formatting changes. AI extraction handles variations naturally — "March 3rd", "3/3/2026", "next Tuesday" all become the same date field. Upload examples of your data to improve accuracy on domain-specific content.