Airparser is a parsing tool for email and documents that uses GPT to greatly improve data extraction. It allows users to easily pull structured data from emails, PDFs, documents, and other sources.
The parsed data can be exported to any application in real time. Airparser's main features include fast, GPT-driven data extraction for efficient results, an OCR engine that extracts data from scanned documents, images, and handwritten notes, and the ability to effortlessly parse texts, emails, PDFs, images, HTML, and more.
The data extraction process involves three straightforward steps: import, extract, and export. Users can import emails and attachments, upload files themselves, or use the API for automation.
For extraction, users describe the data they want to extract, and the GPT-powered parser takes care of the rest. Finally, the parsed data can be exported via webhooks for custom integrations or downloaded in Excel, CSV, or JSON formats.
Airparser supports a variety of use cases, such as pulling contact information, dates, and key details from emails and texts written by people, digitizing handwritten notes and turning them into organized data, efficiently capturing details from invoices, receipts, and purchase orders, gathering essential information from CVs and resumes, automatically extracting data from contracts for simplified management, and streamlining order processing by extracting key details from confirmation documents.
In short, Airparser provides a user-friendly and effective solution for automating data extraction from emails and documents, offering versatile integration options and support for many use cases.
Extracts data from both emails and documents
Exports data in real time
Fast extraction via GPT
Lacks natural language processing
Limited when offline
No built-in collaboration

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