Airparser
Airparser Overview
Airparser is a revolutionary tool powered by GPT technology that automates the extraction of structured data from various documents such as emails, PDFs, images, and more. It provides a secure and efficient way to parse data from scanned documents, handwritten notes, and human-written texts. The parsed data can be exported in real-time to any app, making it a powerful tool for businesses looking to automate their data extraction processes.
Airparser Highlights
- Effortless data extraction from various document types including emails, PDFs, images, and more using GPT-powered technology.
- Secure data storage with the assurance that the data is never used to train GPT models.
- Real-time export of parsed data to over 6000 apps, providing seamless integration and automation for businesses.
Use Cases
A business receives hundreds of invoices in various formats such as emails, PDFs, and even images. Manual data extraction is time-consuming and prone to errors. With Airparser, the business can automate this process.
The business can extract all necessary data from the invoices effortlessly, securely store it, and export it in real-time to their accounting software. This not only saves time but also reduces the risk of human error.
A customer service department receives thousands of emails daily. Extracting relevant information from these emails manually is a daunting task. Airparser can be used to automate this process.
The customer service department can extract key information from the emails, such as customer details and their issues, and export it to their customer relationship management (CRM) system in real-time. This allows for faster and more efficient handling of customer queries.
An HR department receives numerous job applications in various formats. Extracting relevant data from these applications manually is a tedious task. Airparser can be used to automate this process.
The HR department can extract key information from the applications, such as candidate details and their qualifications, and export it to their HR management system in real-time. This allows for faster and more efficient processing of job applications.