The working of Airparser is explained in three steps: import, extract, and export. Users can import documents via email, manual upload, or API. The extraction process involves describing the data to be extracted, and Airparser does the rest using its AI and GPT technology. The parsed data can then be exported to webhooks, Excel, CSV, or JSON, or integrated with over 6000 apps via Zapier and Make. The tool can be used to extract data from human-written emails and texts, handwritten notes, invoices, CVs, contracts, and order confirmations.
Key takeaways:
- The GPT parser revolutionizes data extraction by extracting structured data from emails, PDFs, and documents and exporting the parsed data in real time to any app.
- The process of data extraction is automated and can be set up in just 2 minutes, with the ability to extract data from any document type, including scanned documents, images, and handwritten notes.
- The data extraction process involves three steps: importing the documents, extracting the data using an extraction schema and GPT-powered parser, and exporting the parsed data to webhooks, Excel, CSV, JSON, or over 6000 apps.
- Airparser can be used in a variety of use cases, including extracting data from human-written emails and texts, digitizing handwritten notes, capturing details from invoices, receipts, and purchase orders, gathering details from CVs and resumes, extracting data from contracts, and streamlining order processing.