Turn any spreadsheet into a dashboard

Dreamtable is a productivity tool that transforms spreadsheets into functional user interfaces with minimal effort. By leveraging artificial intelligence, it enables users to convert standard CSV or Excel files into interactive dashboards, reports, and tools without requiring coding or manual interface development. The platform is designed for professionals who rely on spreadsheet data but need more efficient ways to visualize, analyze, and share information.
Target users include business analysts, project managers, small business owners, and operations teams who frequently work with structured data. Dreamtable eliminates the need for time-consuming setup processes typically associated with dashboard creation, allowing users to focus on decision-making rather than data formatting.
Users begin by uploading a CSV or Excel file to the platform. Once the data is imported, they describe their desired output using a text prompt—for example, requesting a sales performance dashboard or an inventory management interface. Dreamtable’s AI engine interprets the request and automatically generates a corresponding user interface tailored to the dataset.
The generated interface can be modified at any time by entering new prompts, enabling rapid iteration without technical overhead. This approach allows non-technical users to maintain dynamic, up-to-date tools directly from their existing spreadsheet workflows, bridging the gap between raw data and actionable applications.
Dreamtable streamlines common business workflows by turning static spreadsheets into responsive applications. For instance, marketing teams can generate campaign performance dashboards, finance departments can produce formatted financial reports, and customer service units can create searchable client databases—all derived from existing spreadsheet data.
Its ability to update interfaces through simple text input makes it ideal for environments where requirements evolve quickly. Organizations benefit from reduced dependency on developers for interface creation, faster deployment of data tools, and improved accessibility of information across teams.