Airparser is an AI document parser that extracts structured data from emails, PDFs, and other documents for teams that need automated data entry and workflow integration. It supports imports through email, upload, API, and automation tools, with export options including webhooks, spreadsheets, and connected apps.

Airparser preview

Overview

Airparser is an AI document parser that extracts structured data from emails, PDFs, and other document types without requiring custom code. The product is positioned for teams that want to turn unstructured content into consistent fields that can flow into spreadsheets, CRMs, or internal systems.

Its workflow centers on defining the data fields you need, importing documents through email, upload, API, or automation tools, and exporting the parsed result through webhooks, REST API, files, or integrations. The site also highlights human-in-the-loop review for low-confidence documents, which helps teams check outputs before they are pushed downstream.

Core capabilities

Schema-based extraction

Create an extraction schema by listing the fields you want, then let Airparser populate structured output automatically.

Multiple import paths

Import data through forwarded emails, manual uploads, API calls, or automation platforms such as Zapier and Make.

Flexible export options

Export parsed data in real time to webhooks, REST API endpoints, Excel, CSV, JSON, Google Sheets, and connected apps.

Multimodal parsing engines

Use LLM, vision, and OCR engines to handle typed text, scanned documents, images, and handwritten content.

Human-in-the-loop review

Hold low-confidence documents for verification before they reach downstream tools and integrations.

Broad language and format support

Process content in 60+ languages and across emails, PDFs, HTML, text files, images, scans, and other supported formats.

Typical use cases

  • Email workflow automation

    Turn incoming order emails, shipping notices, and support messages into structured fields for downstream tools like spreadsheets or CRMs.

  • Invoice and receipt processing

    Extract invoice totals, dates, line items, and vendor details from PDFs, scans, and attachments for accounting or operations workflows.

  • Resume screening support

    Capture names, contact details, work history, and other resume fields into a consistent schema for recruiting workflows.

  • Human review before publishing

    Route uncertain documents to a reviewer so a team can confirm or correct extracted fields before the data is exported.

Pros and Cons

Pros

  • Supports multiple document and email inputs, including PDFs, images, scanned files, HTML, and attachments.
  • Offers structured exports through API, webhooks, spreadsheets, and automation platforms.
  • Includes OCR and vision-based parsing for non-standard or handwritten content.
  • Provides human review for low-confidence documents before export.
  • States that documents are not used to train AI models and that the platform is GDPR compliant.

Cons

  • Pricing is usage-based on credits, so teams need to watch document volume against plan limits.
  • The source does not provide a full public list of every supported connector or integration.
  • Advanced setup details vary by workflow, so teams with highly specialized parsing needs may still need to test fit on real documents.

FAQ

Is there a free plan or trial?

Airparser supports a free trial with 20 credits per month, and the pricing page says no credit card is required to start. Paid plans add larger monthly credit allowances and longer document retention.

What output formats and integrations are available?

Yes. The pricing page says documents can be exported through API, webhooks, and integrations, and the site also mentions downloads to Excel, CSV, and JSON.

What kinds of documents can it parse?

Airparser accepts emails and attachments, uploaded files, and API or automation-platform imports. The site also describes support for PDFs, images, scanned documents, HTML, text files, Word documents, and spreadsheets.

Does it support human review before export?

The site says low-confidence documents can be held for review so a team can verify, correct, and approve the data before it reaches downstream integrations.

How does Airparser handle data security?

Airparser says it is GDPR compliant, uses encryption, and that documents and extracted data are not used to train AI models. The pricing FAQ also mentions 256-bit AES encryption and secure transmission.

Quick Facts

Category
AI document parsing
Platform
Web app
Primary users
Teams handling document and email data
Source domain
airparser.com
Pricing model
Paid plans plus free trial
Integration surface
API, webhooks, Zapier, Make, and connected apps