Airparser

Airparser is a cloud-based document and email parsing tool designed to automatically extract structured data from unstructured sources such as emails, PDFs, scanned documents, invoices, receipts, purchase orders, and any other text-heavy files. It transforms raw input into clean, consistent JSON output that can be directly consumed by downstream applications, databases, or automation workflows. The system operates without requiring any coding skills, making it accessible to non-technical users while offering deep integration capabilities for developers. At its core, Airparser uses a multi-engine fallback approach: it combines optical character recognition (OCR), natural language processing (NLP), and template-based parsing to handle documents in over 60 languages. When one engine fails to interpret a field correctly, another takes over automatically, ensuring high accuracy even with poor-quality scans or varying layouts. Users can define custom parsing rules, field mappings, and validation logic through an intuitive visual interface. The platform supports both one-time extractions and recurring automated pipelines triggered by incoming emails, webhooks, or scheduled intervals. The extracted data is delivered as structured JSON via webhooks, REST API calls, or direct integration with over 7,000 third-party services through Zapier, Make (formerly Integromat), and n8n. This allows businesses to connect parsed information directly to CRM systems (like Salesforce or HubSpot), accounting software (QuickBooks, Xero), ERP systems, spreadsheets (Google Sheets, Excel), databases (Airtable, Notion), and custom applications without manual data entry. For example, an HR department can automatically extract key details from hundreds of applicant resumes sent as email attachments, map