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Text Extract

Detect, extract, and count relevant keywords and phrases from text data

Sheet
Generating
Interactive demo available on desktop
Interactive demo available on desktop
👥

Text Extract

Detect, extract, and count relevant keywords and phrases from text data

“We have delivered powerful assistive tools to our students to help them research, plan and structure their books with AirOps. They’ve never been happier.”

Chris Meier

Director of Data at Bambee
Interactive demo available on desktop
Interactive demo available on desktop

Flexible Text Data Extraction

With AirOps, you can harness the power of Large Language Models (LLMs) like GPT-3.5 and Claude to build custom entity extractors. This flexible template lets you easily specify multiple types of text to extract, use it as a starting point and make it your own.

What makes AirOps different?

Unlike standard text data extraction tools, AirOps lets you build custom workflows, blending custom instructions with your data and more. AirOps Apps can also be run from platforms like Google Sheets and Snowflake or via our bulk CSV runner. Whether you're looking to extract key details from hundreds of pages of legal documents or identify key entities from job applicants, or analyze press releases for specific company information - AirOps Text Extract is the way to go!

Have a question? We're here to help!

Our team is available to help, just book a call with our services team.

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Tools

Create AI tools that can perform classification, text generation, summarization and entity extraction.

{
"Issues": [
	{
	"Issue": "Poor battery life",
    "Status": "Unresolved",
    "Product": "UltraTech Smartphone X",
    "Issue_ID": "1",
    "Priority": "High",
    "Sentiment": "Negative"
	},
  {
  	"Issue": "Sync problem",
    "Status": "Unresolved",
    "Product": "Wireless Earbuds",
    "Issue_ID": "2",
    "Priority": "Medium",
    "Sentiment": "Negative"
    }
	],
	"Customer_Info": 
  	{
    	"Name": "Ilya S.",
      "Email": "",
      "Sentiment": "Negative",
    "Temperament": "Frustrated",
    "Preferred_Contact": "Email"
    },
"Resolved_Issues": [],