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To convert PDF and Word documents to Markdown, place your files in an import directory and run the automated conversion process. This data import parses documents into structured Markdown for easy access and initial scanning.

Yes, you can extract and structure conversation exports from ChatGPT and Claude. The conversation parsing feature transforms exported chat logs into structured, actionable data for further processing and contextual routing.

The best way to organize diverse information sources is using batch processing. Importing data in small, themed batches maintains context and clarity while automating initial scans to guide subsequent routing and organization.

Yes, you need Python 3 and pip installed. The document conversion and conversation parsing processes rely on specific Python libraries, such as markitdown, to accurately format and structure your imported data.

Contextual routing works by performing an initial scan of imported data and directing it to appropriate projects or resources. This automated routing is based on user-defined criteria established during the batch processing setup.

Processing diverse file formats requires specific Python dependencies for parsing. While Excel and PPT conversion to Markdown is supported, large volumes must be processed in batches to optimize efficiency and manage system limitations.