Airparser

$39/month

Airparser

Airparser

Airparser is a software that allows users to automate data extraction in minutes. It can seamlessly integrate with Zapier and Make to export to Google Sheets, Slack, Airtable, and over 6000 apps. With Airparser, users can extract signatures, contact information, dates, and key details from human-written emails and text messages effortlessly, digitize handwritten notes, lists, and more.

Airparser

Starting Price:

$39/month

Visit

Featured in

Airparser Facts

Pricing Model:Per user
Free Trial:Yes
Free Version:No

Airparser Pros & Cons

+Securely stores data
+Integrates with over 6000 apps
+Offers API and automation platform integration

What is Airparser?

Airparser is an email and document parsing tool that uses GPT technology to extract data from unstructured documents. It offers a range of features that allow users to extract signatures, contact information, dates, and key details from human-written emails and text messages, digitize handwritten notes and lists, and capture amounts, dates, ordered items, and vendor details from invoices, receipts, and purchase orders.

Airparser is a useful tool for businesses and individuals looking to automate their data extraction processes. Its integration with Zapier and Make allows for easy export to a variety of apps and platforms, and its GPT engine ensures accurate and efficient data extraction.

Methodology

How does SaaSGenius bring you the best information on new SaaS tools?

  • Who?
    We are SaaS experts: Our specialists constantly seek the most relevant information to help support your SaaS business.
  • Why?
    We are passionate about users accessing the best SaaS and AI tools: We offer up-to-date pricing data, new tools, blogs and research to help you make informed decisions.
  • How?
    With accurate information: Our website manager curates all tools using our curation methodology. Our editorial team fact-check every piece of content we publish, and we use first-hand information, value metrics and leading market data.