Convert Unstructured Contacts to JSON with GPT-4

This n8n workflow automates the extraction of key contact details—like company name, first/last name, address, city, country, phone, fax, and email—from unstructured text inputs such as emails, web forms, or chat messages. It receives data via a POST webhook as form-data under the 'prompt' key, leverages GPT-4 to intelligently parse and structure the information, and outputs clean, valid JSON ready for seamless integration into systems like Dolibarr or other ERP/CRM platforms.

Benefits include significant time savings by eliminating manual data entry, reducing human errors in customer onboarding, and ensuring consistent data normalization across sources. Ideal for marketing teams handling leads from various channels, it supports self-hosted n8n with community nodes for robust performance.

Use cases: Automate lead capture from inbound emails into your CRM, clean messy contact data from forms for sales pipelines, or prepare data for API/webhook consumption in business systems. This template streamlines workflows, boosts efficiency, and scales with your operations.