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Office to Markdown — RAG-Ready Document Extractor

Convert PDF, DOCX, PPTX, XLSX, HTML, images, audio, and 20+ other formats into clean LLM-ready Markdown in one API call. Powered by Microsoft MarkItDown — the highest-fidelity open-source document-to-Markdown engine available.

Optimized for RAG pipelines, embedding ingestion, AI knowledge bases, and document understanding workflows where the quality of upstream chunking determines the quality of downstream retrieval.

v2.0 (2026-05-25) — Upgraded from PDF-only to multi-format. pdfUrl is kept as a legacy alias of fileUrl for backwards compatibility.

Why This Actor

pdf-parse and pdfplumber extract raw text but lose structure: headings collapse, tables stringify, lists flatten. For RAG, that means smaller retrieval precision and more hallucination downstream.

Microsoft MarkItDown preserves:

• Heading hierarchy → #, ##, ### mapped from document outline
• Tables → real Markdown tables, not pipe-broken text
• Lists → bullet and numbered list integrity
• Code blocks → fenced code fences preserved
• Image alt-text → embedded into the flow for context

For DOCX and PPTX, semantic structure (slide titles, footnotes, comments) is preserved. For images and audio, OCR / transcription fallback runs automatically.

Supported Formats

Max file size: 100 MB per request.

Use Cases

• RAG ingestion — Convert document libraries into Markdown chunks before embedding with OpenAI / Voyage / Cohere
• AI knowledge bases — Bulk import company wikis, training material, manuals into vector DBs
• Document Q&A — Pre-process source documents for Claude / GPT structured extraction
• Compliance archival — Normalize multi-format historical records to searchable Markdown
• Migration projects — Move from SharePoint / Confluence to modern docs-as-code platforms
• LLM fine-tuning data prep — Clean Markdown corpus from heterogeneous source files

Input

{
"fileUrl":"https://arxiv.org/pdf/2305.10601",
"includePageBreaks":true,
"truncateChars":0
}

Output

One dataset item per run:

{
"fileUrl":"https://arxiv.org/pdf/2305.10601",
"fileFormat":"pdf",
"byteSize":1043820,
"charCount":48230,
"wordCount":7821,
"markdown":"# Tree of Thoughts: Deliberate Problem Solving with Large Language Models\n\n## Abstract\n\nLanguage models are increasingly being deployed for general problem solving..."
}

Pricing

• $0.05 per document converted (event: pdf-converted)
• Charged only after successful conversion + dataset push
• No charge on download / conversion failures
• Apify platform compute usage is billed separately to users (passOnCosts enabled)

Quick Start

curl

curl-X POST "https://api.apify.com/v2/acts/ntriqpro~pdf-to-markdown/runs?token=YOUR_TOKEN"\
-H"Content-Type: application/json"\
-d'{
 "fileUrl": "https://arxiv.org/pdf/2305.10601",
 "includePageBreaks": true
 }'

Python (Apify Client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("ntriqpro/pdf-to-markdown").call(run_input={
"fileUrl":"https://example.com/report.docx"
})
items =list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(items[0]["markdown"])

JavaScript (Apify Client)

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_TOKEN'});
const run =await client.actor('ntriqpro/pdf-to-markdown').call({
fileUrl:'https://example.com/slides.pptx'
});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].markdown);

Limitations

Always validate critical extractions against the source.

Technology Stack

• Microsoft MarkItDown (MIT) — multi-format → Markdown converter
• httpx (BSD) — Async HTTP client with streaming + size cap
• Apify SDK for Python (Apache 2.0) — Actor runtime

Disclaimer

This Actor is an unofficial open-source wrapper around Microsoft MarkItDown. It is not affiliated with, sponsored by, or endorsed by Microsoft Corporation. Conversion fidelity depends on source-document structure; results are provided for informational and AI ingestion purposes only and are not a substitute for human review of critical or regulated documents.

Changelog

• 2.0 (2026-05-25) — Migrated to Python + Microsoft MarkItDown. Multi-format support (DOCX, PPTX, XLSX, HTML, images, audio, etc.). Output schema enriched with fileFormat / byteSize / charCount. pdfUrl retained as alias of fileUrl.
• 1.0 (2026-04-14) — Initial release with pdf-parse JavaScript backend (PDF only).

🔗 Related Actors by ntriqpro

• invoice-extraction-mcp — Structured line-item extraction from invoice PDFs
• blueprint-intelligence — AI floor-plan and architectural-drawing analyzer
• content-factory — Convert documents into quizzes, flashcards, slide decks, podcast scripts

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