Startup Ideas Bank

A fast document-to-Markdown tool is useful, but it is also a crowded, easy-to-copy utility unless you own a real workflow.

AI roast score: 77/100 (B)

The idea

Nice. Another “convert files to Markdown” tool. If speed alone was enough, half of devtools would be billion-dollar companies. The hard part is not parsing Word docs — it’s getting anyone to pay twice.

In the founder's own words

firecrawl/anydoc — Convert Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and PDF to clean Markdown. Built in Rust, with Node.js and Python bindings.

anydoc





Fast Rust library that converts documents (Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and PDF) into clean GitHub-Flavored Markdown. Includes bindings for Node.js , Python , and the browser (WebAssembly).

Built by Firecrawl to turn any office document into LLM-ready Markdown in single-digit milliseconds, with one consistent output no matter which format goes in. It powers Firecrawl Parse , so if you'd rather not run it yourself, the hosted API gives you the same conversion plus our OCR models for the scanned pages anydoc can't read on its own.

Try it in your browser : the demo page runs the library as WebAssembly, so files are converted locally and never leave your machine.

Quick start

Agent skill

anydoc ships as an Agent Skill , so your agent can read any document it runs into:

npx skills add firecrawl/anydoc

The skill teaches the agent to convert documents with the anydoc CLI. Works with Claude Code , Codex , Cursor , OpenCode , and any other compatible agent .

CLI

npx @firecrawl/anydoc report.docx # Markdown to stdout
npx @firecrawl/anydoc slides.pptx -o slides.md # or to a file
npx @firecrawl/anydoc - --format csv < data.csv # read stdin

npx downloads the prebuilt binary for your platform on first run. For a permanent anydoc command, install globally with npm install -g @firecrawl/anydoc . Run anydoc --help for all options.

Node.js

npm install @firecrawl/anydoc

import { toDocument , toMarkdown , toMarkdownBytes } from '@firecrawl/anydoc' ;

// From a file path:
const markdown = await toMarkdown ( 'report.docx' ) ;

// From bytes, with the format detected from the content:
const fromBytes = await toMarkdownBytes ( bytes ) ;

// Or name it, which signature-less formats (CSV) need:
const fromCsv = await toMarkdownBytes ( bytes , 'csv' ) ;

// Or stop at the document model, which also carries embedded assets:
const document = await toDocument ( bytes ) ;

Full API reference: node/README.md

Python

pip install firecrawl-anydoc

import anydoc

# From a file path:
markdown = anydoc . to_markdown ( "report.docx" )

# From bytes, with the format detected from the content:
markdown = anydoc . to_markdown_bytes ( data )

# Or name it, which signature-less formats (CSV) need:
markdown = anydoc . to_markdown_bytes ( data , "csv" )

# Or stop at the document model, which also carries embedded assets:
document = anydoc . to_document ( data )

Full API reference: python/README.md

Browser (WebAssembly)

npm install @firecrawl/anydoc-wasm

import init , { toMarkdownBytes , toDocument } from '@firecrawl/anydo

The roast

This is a real product, not a fantasy. “Convert Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and PDF to clean Markdown” is a clear job, and “single-digit milliseconds” is a strong brag if it holds up. But the bar for document conversion is brutal: users expect it to work on ugly files, weird layouts, and scanned junk, not just the easy samples. Your own pitch admits the trap. You already have a hosted API, browser demo, CLI, Node, Python, and agent skills. That means this is not just a library; it is trying to be a platform. But the market for document parsing is full of tools that are “fast” and still become plumbing. Plumbing gets used, not loved, and used tools do not automatically become paid tools. The biggest problem is not the tech. It is whether developers will pay for a conversion layer when the output looks commodity and the switching cost is low. If the only real edge is speed and clean Markdown, a bigger platform can bundle this for free, and an open-source competitor can chase parity fast.

Red flags

Verdict

Ship it if you can prove paid usage from a narrow developer workflow; otherwise this becomes a nice open-source tool that never turns into a business.

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