heavy-file-ingestion-codex

To analyze large PDF and DOCX files without exceeding token limits, convert them into lightweight Markdown or CSV artifacts with a compact index, allowing the model to reason over the compressed output instead of the raw file.

The best way to extract data from PPTX and XLSX files for document conversion is to run a bundled converter script that transforms heavyweight files into indexed Markdown or CSV artifacts for efficient analysis.

Yes, you can summarize a large CSV or TSV file directly in Codex by first converting the heavyweight file into a compressed Markdown or CSV artifact with a lightweight index to minimize token usage.

Converting heavyweight files to Markdown reduces model token usage by generating a lightweight index and spending tokens only on the compressed artifact rather than the raw document content.

You should avoid using Markdown conversion for data extraction when working with lightweight files that do not require a compact index, as the overhead of running the bundled converter script provides no token optimization benefit.