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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 2026-09-14).
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
Success—
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/parseWhen 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. Provide either url or base64. |
| base64 | string | Base64-encoded document bytes (max ~15MB). Provide either url or base64. |
| format | string | Optional explicit format override. One of: doc, docx, odt, pdf, ppt, pptx, rtf, epub, xlsx, ods, odp, csv |
| filename | string | Optional filename hint (e.g. "report.docx") used for format detection when bytes carry no signature (csv). |
Tags
x402
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