Create Markdown and structured JSON from file

This feature converts various file types into two complementary outputs: Markdown for human-readable rendering and structured JSON for programmatic processing.

It is designed to help teams prepare documents for LLM prompts, retrieval-augmented generation, and other text analytics workflows without manually reformatting content.

The Markdown output provides a normalized, readable version of the original material that is suitable for reviewing, editing, and indexing.

The JSON output captures the document content in a structured form that supports automated chunking, metadata attachment, and pipeline integration.

This reduces inconsistency caused by ad hoc copy/paste or format-specific parsing approaches across different sources.

The feature fits into ingestion steps where files must be standardized before storage, embedding generation, or analysis.

It also supports scenarios where both a display-friendly representation and a machine-friendly representation are needed side by side.

By producing consistent outputs, it helps improve repeatability, traceability, and maintainability of LLM and text analysis pipelines.

Typical use cases include preparing internal documents for Q&A systems, converting reports for summarization, and standardizing inputs for classification or extraction tasks.