Convert a PDF with tables to Markdown and RAG chunks

Created by

Lindenwerk Data

Actor

PDF to Markdown & RAG Chunks: Document Parser (DOCX/PPTX/XLSX)

Convert a PDF with a table into clean Markdown with the table kept inline as a Markdown table, plus heading-aware RAG chunks with page numbers for citations. The example uses a public W3C sample PDF; replace it with links to your own PDF, Word (DOCX), PowerPoint (PPTX) or Excel (XLSX) files. One row per document shows pages, tables, words and chunk count.

Try for free

PDF to Markdown & RAG Chunks: Document Parser (DOCX/PPTX/XLSX)lindenwerk/pdf-to-markdown-rag

Source

Format

Status

Title

+8 fields

Input

Document URLs:https://www.w3.org/WAI/WCAG21/working-examples/pdf-table/table.pdf

Output:documents-and-chunks

Chunk size (characters):1500

Chunk overlap (characters):150

Page markers in the Markdown:true

Remove running headers and footers:true

Output fields

Source

Format

Status

Title

Pages

Charged pages

No text on pages

Tables

Words

Chunks

Charged

Note

How it works

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The PDF to Markdown & RAG Chunks: Document Parser (DOCX/PPTX/XLSX) Actor is ready to run with the inputs already set for "Convert a PDF with tables to Markdown and RAG chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Convert a PDF with tables to Markdown and RAG chunks" task

The PDF to Markdown & RAG Chunks: Document Parser (DOCX/PPTX/XLSX) Actor will start running based on the input automatically. You can also change all the input fields, like document urls, output, and more, to match your specific use case.

Receive the "Convert a PDF with tables to Markdown and RAG chunks" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as source, format, status, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Convert a PDF with tables to Markdown and RAG chunks" task via API.