Most knowledge still lives in PDFs, spreadsheets and scanned files — formats that break when you try to feed them into an LLM or RAG pipeline. Tables collapse, formulas get mangled, and reading order is lost.
Markdown has become the de-facto input format for AI workflows: it is compact, keeps heading hierarchy, and preserves table structure. The hard part is getting reliable conversion.
What a good converter needs
- Layout-aware extraction — multi-column PDFs must keep the right reading order
- Table preservation — real Markdown tables, not flattened text
- OCR for scans — scanned documents need layout-aware OCR, not raw text dumps
- Formula & image handling — math should survive as LaTeX, images as references
Tool we use
Markovo converts PDFs, Excel, scanned documents, audio and video into clean Markdown ready for LLM and RAG workflows. You can upload a file or paste a public URL — no signup needed to try.
For teams building knowledge bases or RAG pipelines, solid document-to-Markdown conversion removes one of the biggest data-quality bottlenecks. Clean input → better embeddings → better answers.
