Cognitive Kernel-Pro provides powerful document processing capabilities, supporting the parsing of a wide range of common document formats such as PDF, Excel, Word, Markdown and PPTX. This feature can automatically extract text content, table data and even image information, providing the basis for subsequent analysis and report generation. In the implementation , the framework integrates a variety of parsing libraries , including pdfminer-six , python-pptx and openpyxl , to ensure high-precision document processing results .
A typical use scenario is that the user only needs to specify the file path and extraction requirements, the intelligent body will automatically call the corresponding module to complete the analysis work. For example, to extract the PDF document form data or analyze the sales data in the Excel worksheet, the results can be structured format (such as JSON or CSV) output. This type of functionality is particularly suitable for academic research and commercial data analysis scenarios, significantly improving the efficiency of document processing.
This answer comes from the articleCognitive Kernel-Pro: a framework for building open source deep research intelligencesThe
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