Airparser
Airparser is an AI document parser that uses large language models (LLMs) to extract structured data from emails, PDFs, scanned documents, images, HTML, and handwritten texts — without templates or manual rule configuration.
Core Capabilities
- Multi-engine extraction: Combines Text LLM, Vision LLM, and AI OCR engines for a 90% lower error rate compared to traditional rule-based methods
- 60+ languages: Recognizes typed, scanned, and handwritten text in over 60 languages
- Any document type: Supports emails and attachments, native/scanned PDFs, Word documents, images, HTML, CSV, and handwritten notes
- Schema-based extraction: Define fields in plain language; no templates or training datasets required
- Human-in-the-loop review: Hold low-confidence results for team verification before export
Integrations & Automation
- 7,000+ automations via Zapier, Make, and n8n
- Native integrations with Google Sheets, Airtable, HubSpot, Salesforce, Slack, QuickBooks, Notion, and more
- REST API and webhooks for custom workflows
- Airparser MCP for connecting to AI agents like Claude and ChatGPT
Security & Compliance
- AES-256 encryption at rest, TLS 1.2+ in transit
- GDPR compliant — data is never used to train AI models
- Configurable automatic data deletion after processing
Use Cases
- Invoicing: Extract totals, dates, vendors, and line items from invoices and receipts
- HR/Recruiting: Parse candidate names, contact info, and work experience from CVs and resumes
- Real Estate: Route property leads and emails into CRM systems
- Logistics: Process bills of lading, shipping confirmations, and documentation
- KYC: Extract structured identity and onboarding data
- E-commerce: Capture order confirmations and fulfillment details
Getting Started
Users can start for free with no credit card required. Setup typically takes under 5 minutes — describe the data fields you want, upload a document or forward emails, and Airparser handles extraction automatically. Results export via webhooks, API, Excel/CSV/JSON download, or directly to connected apps.
