Airparser

Airparser is an AI document parser that extracts structured data from various sources such as emails, PDFs, images, HTML, and documents. It is designed for teams and organizations that need automated data capture from diverse document types and formats. The tool emphasizes production-grade integrations, governance features like GDPR compliance, and webhook-based workflows. It presents itself as suitable for workflows requiring consistent data outputs and scalable automation.

Airparser operates by importing documents through multiple channels (email, upload, API, automation platforms), describing the data to extract via an extraction schema, and exporting parsed data in real time to destinations like webhooks, spreadsheets, and apps. It uses LLM-powered parsing and supports human-in-the-loop review to verify results before delivery to integrations.

Airparser highlights its ability to map data to user-defined schemas with AI assistance, supports 60+ languages, and handles a wide range of document types including handwritten texts and scanned documents. It mentions trust signals such as encryption, GDPR compliance, and data handling practices, and markets itself as able to connect to thousands of apps through automation platforms.

Airparser outlines plans, platforms, integrations, and limits by listing multiple pricing tiers, a free trial with credits, and integrations with Zapier, Make, n8n, Google Sheets, Slack, HubSpot, QuickBooks, Salesforce, and more. It also notes API and webhooks support, and mentions document retention periods and data deletion options.

Use cases

• Emails and Human-written texts: extract lead details, order information, signatures, contact info, dates, and more.
• CVs and resumes: gather names, contact info, and work experience.
• Invoices, receipts, and POs: capture amounts, dates, items, and vendor details.