Why PDFs break LLMs — and what clean Markdown fixes
A PDF that looks perfect to a human often falls apart the moment a model reads it. Here's what goes wrong, and why converting to clean Markdown first makes downstream AI far more reliable.
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Der Blog von markitdown.ai ist eine Sammlung praktischer Notizen darüber, wie PDFs, Office-Dateien, Scans und Webseiten zu Markdown für Modelle, RAG-Pipelines und Agenten werden – die Fehlerbilder, die wir sehen, und wie die Konvertierung sie behebt.
A PDF that looks perfect to a human often falls apart the moment a model reads it. Here's what goes wrong, and why converting to clean Markdown first makes downstream AI far more reliable.
Retrieval quality is decided long before the vector database. This is a pre-processing checklist for turning messy source documents into clean, chunk-ready text.
Plain text throws away the structure a model could have used. Markdown keeps it, at almost no token cost — and that changes how reliably an LLM can reason over your content.
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