Airparser

Extracts structured data from emails, PDFs, and handwritten text with AI-powered parsing, automating information retrieval and integration with other apps.
Document Automation Data Extraction Artificial Intelligence Integration

Airparser is a sophisticated GPT-powered parser that lets you quickly extract structured data from documents like emails, PDFs and handwritten text. It uses AI to quickly find the information you need in documents and then lets you get to work with that data.

Airparser is designed to make data extraction as easy as possible, with integrations that can be set up in 5 minutes. Among its features:

  • Document Types: Extracts data from emails, PDFs, images, HTML and other document formats.
  • Data Extraction: Automatically pulls information like signatures, contact information and dates from emails and text documents.
  • GPT Engine: Uses GPT technology for data extraction.
  • Security: Protects data with 256-bit AES encryption, secure data transfer and user activity logs.
  • Integrations: Exports data to other apps with webhooks, Zapier and Make integration, including Google Sheets, Slack, HubSpot and QuickBooks.

Airparser has a variety of pricing tiers for different needs:

  • Starter: $33 per month (annual billing), 100 credits, 30 days of document retention.
  • Growth: $49 per month (annual billing), 500 credits, 90 days of document retention.
  • Business: $149 per month (annual billing), 2,000 credits, 90 days of document retention.
  • Premium: $249 per month (annual billing), 5,000 credits, 180 days of document retention.

A 30-credit trial is also available so you can try out the service before committing to a subscription. Credits expire at the end of each billing cycle, and you can upgrade or downgrade your subscription at any time.

Airparser is good for businesses and individuals who want to streamline and automate data extraction from a variety of documents, freeing up time and reducing manual labor. With its powerful features and flexible pricing, Airparser could be a good fit for many workflows.

Published on June 13, 2024

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