PDF → RAG

Convert PDF for RAG and LLM pipelines

Retrieval quality starts with clean input. Parsade turns PDFs into structured Markdown that chunks cleanly and embeds well, and it does it in your browser so confidential documents never get uploaded.

Raw PDF text breaks retrieval

Most PDF extractors return a flat stream of text. Reading order is scrambled across columns, table cells run together, and headings lose their level. When you chunk that, unrelated passages end up in the same vector and tables split mid-row. The retriever then surfaces the wrong context, and the model answers from it.

Parsade reconstructs the document first. Headings, lists, tables, and code come back as structured Markdown, so your chunker can split on real boundaries and every chunk stays coherent.

Built for ingestion pipelines

Chunk on structure

Heading hierarchy survives the conversion, so you can split by section instead of by arbitrary character count.

Tables stay whole

Financial and data tables become Markdown tables, so a row of numbers is never embedded as disconnected fragments.

Private by architecture

Conversion runs on your GPU in the browser. Sensitive contracts and records are never sent to a third party.

Need layout coordinates for region-based chunking? The JSON output carries bounding boxes for every element.

From PDF to embeddings

1

Drop your source documents into the converter. They stay on your device.

2

Download structured Markdown, or JSON if you need layout data.

3

Chunk on headings, embed, and index in your vector store of choice.

Other ways to use Parsade

Questions

Why not just feed raw PDF text to my RAG pipeline? +

Raw extraction loses reading order, table structure, and heading hierarchy. Chunks built from it mix unrelated content and split tables mid-row, which lowers retrieval quality. Structured Markdown keeps those boundaries intact.

Is it safe to use with confidential documents? +

Yes. Parsade converts the document on your own device inside the browser. Nothing is uploaded, which makes it suitable for legal, financial, and medical documents that cannot leave your control.

What output formats work best for embeddings? +

Markdown is the easiest to chunk and embed because headings and tables are preserved as plain text. The JSON output additionally carries layout and bounding-box data if you want to chunk by document region.

Feed your pipeline clean input

Convert documents to structured Markdown without uploading a thing.