Who it is built for
- Teams automating document data entry
- Developers building document extraction into products
- Operations teams routing extracted data into existing tools
Extract structured data from emails, PDFs, and documents
Airparser extracts structured data from emails, PDFs, scans, images, and other documents. Users define an extraction schema, import documents through an inbox, upload, API, or automation platform, then export results to spreadsheets, webhooks, APIs, and connected tools.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Users describe the fields to extract and Airparser returns structured data from incoming documents.
Low-confidence documents can be held for a team to verify, correct, and approve before export.
Parsed data can be sent in real time through webhooks, the REST API, Zapier, Make, n8n, and spreadsheet integrations.
Import documents by forwarding emails, uploading files, or using the API and automation platforms. Define the fields to extract, then send the parsed output to an integration, webhook, API endpoint, or downloadable file.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.