ClawFetch Document Parser

x402

ClawFetch Document Parser is a paid API for AI agents from api.clawfetch.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-29).

Converts office documents (docx, pptx, xlsx, pdf, odt, epub, csv, rtf, and more) to clean GitHub-Flavored Markdown, preserving headings, tables, and lists.

Price / call$0.005

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StatusUnknown

How this service works

Document parsing: convert office documents (docx, pptx, xlsx, pdf, odt, ods, odp, rtf, epub, csv, doc, ppt) to clean GitHub-Flavored Markdown. Pass a document URL or base64-encoded bytes. Deterministic local Rust converter (Firecrawl anydoc) — fast, typed structure preserved (headings, tables, lists), no OCR for scanned/image-only PDFs.

Output

Returns GitHub-Flavored Markdown text of the parsed document, with structural elements like headings (# H1, ## H2), tables (pipe syntax), and lists (- item) faithfully preserved. Does not perform OCR, so scanned or image-only PDFs will not yield meaningful text.

Example use cases

Research report ingestion pipeline

“I have a PDF research report at https://example.com/papers/annual-review-2024.pdf — can you convert it to markdown so I can feed it into my summarization pipeline?”

Spreadsheet to markdown table

“Here's a base64-encoded Excel spreadsheet with our sales data. Convert it to a markdown table so I can include it in our wiki.”

Slide deck content extraction

“Pull the text and structure out of this PowerPoint presentation at https://storage.example.com/decks/product-launch.pptx and give it back to me as markdown.”

Technical details

Endpoint

POSThttps://api.clawfetch.ai/parse?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need fast, deterministic, structure-preserving conversion of standard office document formats (docx, xlsx, pptx, pdf with selectable text, odt, epub, csv, rtf) to clean markdown — especially when table and heading structure must be retained. It is not suitable for scanned PDFs needing OCR, image extraction, or formats outside the supported list. Prefer this over general-purpose web scrapers when the input is a document file rather than an HTML page.

Side effects

Scanned/image-only PDFs return empty or minimal markdown because no OCR is performed
Unsupported file format returns an error; use the format override parameter if auto-detection fails
Base64 payload exceeding ~15MB will be rejected
Inaccessible or redirected document URL returns a fetch error
CSV files without a filename hint may fail format detection since they lack a file signature

Input

Schema · Request body

Field	Type	Description
url	string	URL of the document to download and parse (either url or base64)
base64	string	Base64-encoded document bytes, max ~15MB (either url or base64)
format	string	Optional format override: doc, docx, odt, pdf, ppt, pptx, rtf, epub, xlsx, ods, odp, csv
filename	string	Optional filename hint for format detection, e.g. "report.docx"

Output

Schema · Response

{
  "type": "json",
  "example": {
    "chars": 1834,
    "format": "docx",
    "markdown": "# Quarterly Report\n\n| Region | Revenue |\n|---|---|\n| EMEA | $1.2M |"
  }
}

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