PDF to Markdown for AI

FileDigest turns PDFs into cleaner Markdown artifacts that are easier to inspect, paste into LLMs, store in prompt packets, or pass into downstream retrieval workflows.

What it creates

Every successful job produces a readable digest.md and a structured manifest.json. The digest is for humans and LLM context windows. The manifest records file metadata, processing outcomes, pages, artifacts, and token estimates.

Who it is for

FileDigest is useful for researchers, analysts, consultants, AI builders, and operations teams that regularly need to prepare dense PDFs before asking ChatGPT, Claude, AI coding tools, or a RAG pipeline to work with them.

Why not just upload the PDF to an LLM

Direct upload can be enough for one-off reading. FileDigest is for repeatable preparation: batch jobs, private artifact downloads, source manifests, token awareness, job history, and outputs that can be reused outside one chat session.

Processing model

Document conversion runs on the Modal Docling engine. The browser never receives the Modal engine API key, and the production product does not use a local fallback processor.