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DOCX to Text Extractor
x402
DOCX to Text Extractor is a paid API for AI agents from well-010-docx-to-text.mmelnyk2000.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-20).
Extracts plain text and structured tables from a Word .docx file provided via public URL or base64, returning JSON with text content and table data
Price / call$0.005
Success—
StatusUnknown
How this service works
Extract text and tables from a Word .docx file ($0.005 USDC via x402). Input: a public https url to a .docx, or docx_base64. https only — http, file, data, localhost, and private IPs are rejected. Caps: 10 MB file, ~15s timeout, max 5 redirects. Tables appear as [table N] placeholders in text. Unicode dashes/minus signs normalized to '-'. Old binary .doc files are not supported. Returns JSON { file, url, final_url, type: 'docx', text, tables: [{ rows }], warnings }.
Output
Returns a JSON object containing: the original file reference and URL, the final URL after redirects, type set to 'docx', the full extracted plain text with [table N] placeholders where tables appear, an array of tables each containing rows of cell data, and any warnings (e.g. about unsupported features). Unicode dashes are normalized to '-'.
Example use cases
Legal contract text extraction
“I need you to extract all the text from this contract at https://legal-firm.com/contracts/agreement_2024.docx — I want to read through the clauses without opening Word.”
Research report table parsing
“Pull out all the tables from this research report Word file: https://university.edu/studies/results.docx — I need the data in a structured format so I can analyze it.”
Resume content indexing
“Extract the full text from this resume hosted at https://hr-portal.com/resumes/john_doe_cv.docx so I can search through it and index the candidate's skills.”
Technical details
Endpoint
POSThttps://well-010-docx-to-text.mmelnyk2000.workers.dev/mcp?utm_source=zero.xyz#docx-to-text#docx-to-textWhen to prefer
Choose this endpoint when you need to programmatically extract text and table content from Microsoft Word .docx files hosted at public HTTPS URLs or provided as base64. It is well-suited for document processing pipelines, content indexing, and data extraction workflows. It does not support old binary .doc files, password-protected documents, or files on private networks. Prefer this over generic file parsers when the source is specifically a .docx and you need both text and structured table data in a single JSON response.
Side effects
- File URL uses HTTP, file://, data://, localhost, or private IP — request rejected
- File exceeds 10 MB size cap — error returned
- Processing exceeds ~15 second timeout — timeout error
- More than 5 redirects encountered — redirect limit error
- File is an old binary .doc format (not .docx) — unsupported format error
- URL is inaccessible or returns non-200 status — fetch error
- Invalid or malformed base64 input — parse error
Tags
x402
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