Airparser revolutionizes the way businesses handle data extraction by leveraging advanced GPT and Vision technologies. This innovative tool simplifies the process of extracting structured data from a variety of document types, including emails, PDFs, and even handwritten texts. With Airparser, setting up your data extraction workflow is straightforward and can be completed in under five minutes. Users simply need to describe the data they wish to extract, and Airparser takes care of the rest, integrating seamlessly into existing workflows.
One of the standout features of Airparser is its ability to process human-written emails and texts, effortlessly extracting signatures, contact information, dates, and key details. This capability extends to CVs, resumes, invoices, receipts, purchase orders, contracts, and order confirmations, making it a versatile tool for businesses across various industries.
The process of automating document data extraction with Airparser involves three simple steps: import, extract, and export. Users can import documents through multiple channels, including email forwarding, manual uploads, or API automation via platforms like Zapier and Make. Once imported, Airparser's GPT-powered parser efficiently extracts the specified data, which can then be exported in real-time to Google Sheets, files, webhooks, or integrated with over 6000 apps and platforms.
Airparser's commitment to accuracy and efficiency is evident in its use of GPT, Vision LLM, and AI OCR engines, which together ensure a 90% lower error rate compared to traditional data extraction methods. Additionally, Airparser supports over 60 languages and can recognize typed, scanned, and handwritten texts, further enhancing its utility for global businesses.
Security and data protection are paramount for Airparser, with all data securely stored, encrypted, and never used to train AI or GPT models. This commitment to privacy, combined with the tool's powerful features and ease of use, makes Airparser an indispensable asset for companies looking to streamline their data extraction processes and eliminate manual data entry.
