What is Airparser?
Airparser extracts structured information from documents that would otherwise require manual entry. Its supported material includes emails and attachments, PDFs, invoices, resumes, contracts, and handwritten text. Users define the information needed, then move the extracted result into a spreadsheet, database, or business application. The platform combines text, vision, and OCR engines with review and integration tools, making the extraction part of a broader operational workflow.
Define fields around the destination record
An invoice workflow may need a vendor, date, totals, and line items, while a resume requires a different schema. Airparser can parse documents without fixed templates and provides tools for cleaning or reshaping results with Python. Establish required fields and expected formats before processing a batch. Clear definitions make it easier to detect a missing value or an amount that was assigned to the wrong field.
Review exceptions before data leaves the system
The official site includes human-in-the-loop verification, REST API access, webhooks, and connections to automation platforms. Use review where an extraction error would affect a payment, customer record, or another important action. Keep the source document linked to the extracted record when possible. That relationship makes it easier to investigate a discrepancy later without guessing which attachment supplied a value.
Features to explore
- Email and document parsing
- Text, vision, and OCR engines
- Structured extraction schemas
- Human review before export
- API, webhook, and automation connections
Who is Airparser for?
Airparser fits operations teams processing recurring documents with varying layouts. It is useful when the goal is to populate structured records and the team can define the required fields, validate exceptions, and maintain the downstream integration.
Before you get started
Check extraction accuracy on representative documents before automating exports. Protect sensitive records, review retention settings, and validate totals or identifiers against the source when errors could affect payments, access, or other consequential decisions.
This introduction is independently written from public product information. It is not a hands-on review. Features and plans may change; confirm current details with the provider.
Our editorial approach
