panda{·}etl is a versatile tool designed to transform disorganized files into actionable data. Users can upload a variety of file types, including PDFs, images, audio files, and websites, and then define specific data points for AI-powered extraction. The extracted data is presented in exportable spreadsheets, complete with linked and highlighted sources for easy reference.
The platform supports a wide range of document types, such as contracts, invoices, images, websites, and reports, making it ideal for extracting valuable information efficiently. Users can interact with their data through an intuitive chat interface, allowing them to ask questions and uncover insights. Additionally, the tool facilitates the quick generation of detailed reports, complete with overviews and summaries.
panda{·}etl offers explainable results, where users can click on any cell in the extraction tables to view the source context immediately. Highlighted files can be downloaded in batches for further analysis. The platform includes industry-specific automation modules, optimized for sectors like finance, real estate, telecommunications, insurance, healthcare, and more. Customizable automation options are also available upon request.
The tool is accessible in various deployment options, including a community-supported free tier available on GitHub, and a customizable enterprise solution with scalable credit packages and dedicated account management. Enterprise-grade security standards such as SOC 2 Type 2, ISO 27001, and GDPR compliance ensure data protection and privacy. Users can choose between SaaS or on-premise deployment based on their specific needs.
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