Contact Card Extractor
Thomas - Product Creator
Sales agents that engage with leads through email.
Email is very busy. It has attachments, text, etc... It is not easy to read. And it takes a long time to open and load. Even more, when you are looking for contact information in emails it gets even tougher. It's like finding a needle in a haystack!
Using the GPT3 model and a built in natural language parser, this service extracts contact info from an email and converts it into a Vcard format. The Vcard is emailed back to you as an attachment.
First I needed to make sure this will actually work pretty well. Can I take an email and extract contact information accurately? What model will I use and how will I ultimately process the text?
Nothing is better these days for rapid NLP prototyping than OpenAI’s text-davinci-002 model. I copied and pasted an email I received from someone the other day trying to market outsourced developers.
After confirming that the model would work, I performed the trivial task of wrapping this functionality in a full-stack app. The rest, as they say, is history.
I ended up with a perfectly functioning SaaS to receive emails, parse them to generate a vCard, and email back the vCard to the original email receiver.