AI Data Parser
Turn unstructured documents, emails, and PDFs into clean, structured data automatically. No templates, no rules, no code — just describe the fields you need.
Free trial · No credit card required
What is a data parser?
A data parser is a tool that reads unstructured or semi-structured content — like emails, PDFs, invoices, spreadsheets, or scanned documents — and extracts specific pieces of information into a structured format such as JSON, CSV, or a spreadsheet.
Traditional data parsing software relies on rigid templates and parsing rules: you define exactly where each value sits, and the parser breaks the moment a layout changes. Airparser takes a different approach. It uses large language models to understand the meaning of a document, so it extracts the right data even when the format varies from one sender or vendor to the next.
How AI data parsing works
Import
Forward emails to a dedicated inbox, upload documents, or send them via API, Zapier, Make, or n8n.
Extract
Define an extraction schema — a list of the fields you need. The AI parses the data regardless of layout variations.
Export
Get structured data via webhooks or API, or sync it live to Google Sheets, Excel, Airtable, and 6,000+ apps.
What data can Airparser parse?
Emails
Extract structured data from email bodies and attachments — regardless of sender or format.
PDFs & documents
Parse invoices, contracts, bank statements, reports, Word and Excel files into structured data.
Scans & images
A built-in OCR engine reads typed, scanned, and handwritten text in 60+ languages before extraction.
Tables & line items
Extract repeating rows — invoice line items, order rows, transactions — as structured arrays.
AI data parsing vs. rule-based parsers
Rule-based parsing software
- Templates break when layouts change
- Manual setup for each document type
- Struggles with unstructured content
Airparser (AI-powered)
- Handles varying and messy layouts
- Describe fields in plain language — no rules
- Understands context like a human would
Comparing options? See the best document extraction tools →
Common data parsing use cases
Invoice data
Extract invoice numbers, totals, VAT, and line items into your accounting system.
Bank statements
Convert PDF statements into structured transactions for bookkeeping and reconciliation.
Resumes & CVs
Parse candidate data from resumes for your ATS and recruiting workflows.
Email data
Capture leads, orders, and notifications from incoming emails automatically.
Order confirmations
Extract order details from marketplace and shop confirmation emails.
Developer API
Build data parsing into your own product with a production-ready REST API.
Frequently Asked Questions
What is data parsing software?
Data parsing software automatically reads documents, emails, and files and extracts specific information into a structured format like JSON, CSV, or a spreadsheet — replacing manual copy-paste data entry.
How is an AI data parser different from a traditional one?
Traditional parsers use fixed templates and rules that break when a layout changes. An AI data parser like Airparser understands the meaning of the content, so it extracts the right data even when documents come in different formats from different sources.
Do I need to write code or build templates?
No. You define an extraction schema — simply a list of the fields you want — and the AI handles the rest. No templates, no parsing rules, no regex, no coding required.
What formats can Airparser export to?
Structured JSON, Excel, and CSV — delivered via webhooks or REST API, or synced live to Google Sheets, Airtable, and 6,000+ apps through Zapier, Make, and n8n.
Is there a free way to try it?
Yes. Airparser offers a free trial with no credit card required, so you can test data parsing on your own documents before upgrading.
