Extract data from documents into Excel with AI – instantly

docs2excel.ai is a web-based AI-powered tool designed to extract structured data from unstructured or semi-structured documents and convert it into editable Excel spreadsheets. It enables users to rapidly transform diverse document types—including invoices, receipts, bank statements, purchase orders, resumes, and research papers—into tabular format without manual re-entry or complex configuration.
The service targets professionals across finance, HR, procurement, legal, and academic domains who regularly process document-based information but lack technical resources for custom automation. Its design emphasizes accessibility: no coding, installation, or model training is required, making it suitable for both individual knowledge workers and small-to-midsize teams seeking scalable document processing.
The workflow consists of three sequential steps. First, users upload one or more documents via drag-and-drop, clipboard paste, or file selection. The system accepts common document and image formats, including scanned PDFs, and processes them in real time.
Second, users define the structure of the output spreadsheet by specifying column names, descriptions, and data types (e.g., Text). An AI autofill feature assists in suggesting column definitions based on document content. Users may save and share templates for repeatable extractions.
Third, after initiating extraction, the AI analyzes each document to locate and populate the specified fields. Results appear in an interactive table view and can be downloaded immediately as a standard .xlsx file compatible with Microsoft Excel and other spreadsheet applications.
docs2excel.ai streamlines high-volume, repetitive document processing tasks. In finance, it accelerates accounts payable workflows by converting invoices and bank statements into reconcilable spreadsheets. In human resources, it extracts structured candidate information from resumes for applicant tracking. Procurement teams use it to parse purchase orders and receipts for spend analysis. Academic researchers apply it to tabulate data from experimental reports or literature reviews. Across use cases, the tool reduces manual transcription errors, shortens processing time from hours to minutes, and maintains strict data confidentiality through ephemeral file handling.