Developed a feature for the mindsandcompany/doc_parser repository that enables custom HTTP header support for URL-based document fetching, expanding integration options with external systems. The solution allows users to pass a JSON string of headers to the convert function, which are then propagated through resolve_source_to_path and utilized by DocumentConverter and _DocumentConversionInput. This approach facilitates authenticated or specialized HTTP requests for protected document sources, laying the groundwork for secure external data ingestion. The work was accomplished using Python and focused on API integration, CLI development, and data modeling, providing a foundation for future enhancements and header-related testing within the project.