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This tutorial installs OpenDataLoader PDF on Ubuntu and tests PDF extraction for a RAG pipeline. The speaker describes it as an open source parser with Python, Node.js and Java SDKs, a LangChain integration and an Apache 2 license. Setup uses a conda environment and requires Java and a JDK before installing the base package and hybrid support.
The first example runs entirely on the CPU through Java. It converts a corporate report with multiple columns and tables into Markdown and JSON. The speaker reports that the 12-page file finished in under one second without a GPU. He describes Markdown as useful for chunking and JSON bounding boxes as a way to trace extracted content to its position in the PDF. His inspection finds no errors, but this is a result from the sample rather than a general accuracy guarantee.
The second example uses a self-hosted Docling Fast backend. Hybrid mode keeps simple pages in the local parser and sends complex tables or scanned content to the backend, which uses port 5002 by default and can run on a network server. A specification sheet produces JSON, Markdown and separate images with paths in the output.
The speaker also reports slower processing on PDFs around 1,000 pages or containing images. He suspects LangChain contributes to scaling problems, without establishing the cause, and recommends testing production workloads on your own documents.
