Airparser

By Airparser

Extract structured data from emails, PDFs, images, and documents using AI-powered parsing.

Document ParsingEmail ParsingAI ExtractionOCR
Overview

What is Airparser?

Airparser is an AI-powered parser that extracts structured data from emails, PDFs, scanned documents, images, Word files, and spreadsheets. Users define a schema of fields, forward or upload documents, and receive clean data that can be reviewed and sent onward. It includes OCR for scans and handwriting, Python post-processing with an AI code assistant, and human review. Operations teams, small businesses, analysts, and automation builders use Airparser to replace manual data entry.

Best for
Operations TeamsSmall BusinessesAutomation SpecialistsData AnalystsFinance Teams
Product snapshot
Category
Data Extraction & Collection
Best for
Email and document parsing
Deployment
Cloud
Free trial
Yes (free plan)
Integrations
Zapier, Make, Google Sheets
AI features
Yes
Key features

Key features of Airparser

AI field extraction

Define a schema and pull named fields from varied documents.

OCR for scans

Read scanned PDFs, images, and handwritten notes into structured data.

Email parsing inbox

Forward emails and attachments to a dedicated inbox for parsing.

Python post-processing

Clean extracted data with code drafted by an AI assistant.

Human review step

Approve or correct parsed data before it is exported.

API and webhooks

Send parsed results to other systems through REST API or webhooks.

Reviews

Airparser reviews

20 reviews

Overall

4.6/5

  • Ease of use4.6/5
  • Customer support4.7/5

What users like

  • Quick setup with simple schemas
  • Handles scanned and messy PDFs
  • Responsive and helpful support
  • Useful webhook and automation options

What users dislike

  • Costly for high-volume simple jobs
  • Free tier limits are small
  • Occasional inconsistent field extraction
  • No folders for organizing documents

Allen M.

Owner/realtor

“Liked the simple data capture fields and webhooks that replaced the need for Make and Zapier. Found it a fairly basic tool and needed a moment to figure out how to edit a workflow.”

Devon P.

Marketing Manager

“Liked that it handled scanned PDFs better than four other tools tried and exported to Excel and Google Sheets. Found no way to organize data with folders or tags before export.”

Martin L.

PM

“Liked the good value, responsive support, easy schema creator, and strong web scraping. Found it costly for high-volume simple scrapes, saw it fill gaps with nearby wrong text, and wanted folder organization.”

Haitham A.

Co-Founder

“Liked that it handles many formats, including handwritten notes. Found accuracy depends heavily on input quality and raised concerns about privacy and the high cost of the service.”

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Integrations

Airparser integrations

Airparser sends parsed data to the tools teams already use. Native options include Zapier, which links it to thousands of apps, plus Make and self-hosted n8n for building automation workflows. Results can flow directly into Google Sheets, Airtable, or Excel, and webhooks push each parsed document to any endpoint in real time. A REST API lets developers upload documents, retrieve results, and manage schemas programmatically. Airparser also offers an MCP connection so AI assistants such as Claude and ChatGPT can work with parsed data. Inputs arrive by email forwarding, file upload, or API, covering PDFs, images, DOCX, HTML, EML, XLSX, and CSV files.

FAQ

Frequently asked questions about Airparser