The complete docling-serve configuration reference, read from the v1.32.0 settings module. Every DOCLING_SERVE_* variable with type, default and effect, grouped by purpose, plus a Docker Compose file and the cu128 and cu130 image tags.
Convert scanned PDFs to Markdown with Docling OCR. Tested Python code, a sample PDF and real output, plus fixes for missing text and language settings.
What actually works when you try to run Docling on AWS Lambda or Vercel. Hard limits, cold starts, OCR filesystem traps, and the patterns that survive production.
A criteria-first comparison of Docling, LlamaParse, and Marker for parsing PDFs in RAG pipelines. Licensing, output, cost per 1k pages, and what to actually test.
Wire Docling into n8n with the verified Parsebridge community node, parse PDFs out of Gmail, Drive, or Slack, and feed clean Markdown to Notion, Pinecone, or an LLM.
Production setup for running Docling in Docker. Which official image to pick, a Compose file you can download, why the model cache breaks, and how to size the container.
What docling-serve is and how to run it. Install and container options, the v1 request shapes that actually work, async jobs, auth, configuration, and the timeout failures that bite first.
A hands-on guide to parsing PDFs with Docling in Python. Install it, parse your first document, handle tables and OCR, and know when self-hosting makes sense.