Conversion BUNDLE · 8 ENDPOINTS

Conversion Bundle

9 endpoints: convert PDF, DOCX, XLSX, PPTX, CSV, HTML, and image OCR to markdown; extract PDFs to structured JSON; and transcribe audio/video to text.

Target Persona & Use Cases:

For RAG ingest, knowledge-base pipelines, and document-processing SaaS.

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8 Endpoints

~4 cr Workflow Band

Bearer Auth Unified Token

MCP Server Compatible

SPECIFICATION

Endpoints in this bundle

Each endpoint is independently callable. Bundle membership is for discovery only — you do not need to opt in.

Method	Endpoint Path	Credits	Operation Summary
POST	/v1/convert/pdf-to-markdown	1 cr	PDF to markdown.
POST	/v1/convert/docx-to-markdown	1 cr	Word .docx to markdown.
POST	/v1/convert/xlsx-to-markdown	1 cr	Excel .xlsx to markdown.
POST	/v1/convert/pptx-to-markdown	1 cr	PowerPoint .pptx to markdown.
POST	/v1/convert/csv-to-markdown	1 cr	CSV to markdown table.
POST	/v1/convert/html-to-markdown	1 cr	HTML to markdown (clean).
POST	/v1/extract/document	3 cr	PDF to structured JSON (Docling): text blocks, tables with cells, reading order, page layout.
POST	/v1/transcribe	5 cr	Audio/video to text + timestamped segments, auto-detected language (faster-whisper).

PRODUCTION RECIPE

Mixed-format knowledge-base ingest

Recommended step-by-step workflow sequence for composing these endpoints in production:

Step 1

Inspect the file's MIME type and route to the corresponding /v1/convert/* endpoint.

Step 2

Post-process the returned markdown into chunks of your preferred size, embed, and write to your store.

INTEGRATION CODE

Try a request

Pick a language. Copy-pasteable code snippet configured with your standard Bearer token header.

curl -X POST https://api.ollagraph.com/v1/convert/pdf-to-markdown \
  -H "Authorization: Bearer $OLLAGRAPH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com/whitepaper.pdf"}'

import httpx, os

r = httpx.post(
    "https://api.ollagraph.com/v1/convert/pdf-to-markdown",
    headers={"Authorization": f"Bearer {os.environ['OLLAGRAPH_API_KEY']}"},
    json={"url": "https://example.com/whitepaper.pdf"},
    timeout=120.0,
)
print(r.json())

const res = await fetch("https://api.ollagraph.com/v1/convert/pdf-to-markdown", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.OLLAGRAPH_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ url: "https://example.com/whitepaper.pdf" }),
});
console.log(await res.json());

FREQUENTLY ASKED QUESTIONS

Conversion bundle FAQ

Common questions about rate limits, execution behavior, and parameters for this workflow.

Can I send the file body inline or only a URL?

Both. Pass `url` for us to fetch, or `file_b64` for an inline base64 body. Inline is capped at 25 MB; URL fetches at 100 MB.

Does pdf-to-markdown preserve tables?

Yes, as markdown table syntax when the layout is recoverable. Complex multi-column layouts with merged cells degrade to plain text rows.

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1,000 credits on signup. No card. Every endpoint in this bundle is live from minute one.

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✓ Flat 1 credit / call base

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