File to Markdown Converter

# File to Markdown — Skill ## Overview Convert files into **clean, structured, AI-ready Markdown** using the `markdown.new` API powered by **Cloudflare Workers AI toMarkdown()**. Supports 20+ formats including documents, spreadsheets, images, and structured data. No authentication required (500 requests/day per IP). --- ## When to Use This Skill Use this skill whenever you need to: * Extract text from files for LLM processing * Convert PDFs or Office files into Markdown * Normalize data into structured text * Process uploaded user files * Scrape webpage content into Markdown * Convert images into AI-generated descriptions + content Common AI workflows: * RAG ingestion pipelines * Knowledge base creation * Document summarization * Dataset extraction * Spreadsheet analysis * OCR-like extraction from images --- ## Supported Formats ### Documents * `.pdf` * `.docx` * `.odt` ### Spreadsheets * `.xlsx` * `.xls` * `.xlsm` * `.xlsb` * `.et` * `.ods` * `.numbers` ### Images * `.jpg` * `.jpeg` * `.png` * `.webp` * `.svg` ### Text & Structured Data * `.txt` * `.md` * `.csv` * `.json` * `.xml` * `.html` * `.htm` Notes: * Image conversion uses AI object detection + summarization. * HTML URL conversion uses a web page pipeline. * Uploaded HTML uses Workers AI conversion. --- ## API Base URL ``` https://markdown.new ``` --- ## Endpoints ### 1️⃣ Convert Remote File (Simple GET) Returns plain Markdown text. ``` GET /:file-url ``` Example: ```bash curl -s "https://markdown.new/https://example.com/report.pdf" ``` --- ### 2️⃣ Convert Remote File (JSON Response) Returns metadata + Markdown. ``` GET /:file-url?format=json ``` Example: ```bash curl -s "https://markdown.new/https://example.com/report.pdf?format=json" ``` --- ### 3️⃣ Convert Remote File via POST Use when you want structured JSON response. ``` POST / Content-Type: application/json ``` Body: ```json { "url": "https://example.com/report.pdf" } ``` Example: ```bash curl -s https://markdown.new/ \ -H "Content-Type: application/json" \ -d '{"url": "https://example.com/report.pdf"}' ``` --- ### 4️⃣ Upload Local File Use when file is not publicly accessible. ``` POST /convert multipart/form-data ``` Example: ```bash curl -s https://markdown.new/convert \ -F "file=@document.pdf" ``` --- ## Response Formats ### URL Conversion Response ```json { "success": true, "url": "https://example.com/report.pdf", "title": "Quarterly Report", "content": "# Quarterly Report\n\n...", "method": "Workers AI (file)", "duration_ms": 1200, "tokens": 850 } ``` --- ### Upload Conversion Response ```json { "success": true, "data": { "title": "Q4 Report", "content": "# Q4 Report\n\n...", "filename": "report.xlsx", "file_type": ".xlsx", "tokens": 1250, "processing_time_ms": 320 } } ``` --- ## Best Practices for AI Agents ### Prefer GET for Simple Workflows Use: ``` GET /:url ``` When: * You only need Markdown text * Speed is important * No metadata required --- ### Prefer POST for Structured Pipelines Use POST when: * Metadata is needed * Token counts are required * Monitoring or logging is implemented * Building automation workflows --- ### File Upload Strategy Use `/convert` only if: * File is local * File is private * File requires authentication to access Otherwise always prefer URL conversion. --- ## Error Handling Strategy Agents should: 1. Check `"success": true` 2. Retry once if network failure 3. Validate content length > 0 4. Fallback to alternate extraction if needed --- ## Rate Limits * 500 requests/day per IP without API key * No signup required Agents should: * Cache results when possible * Avoid duplicate conversions --- ## Integration Examples ### JavaScript (Node.js) ```js const res = await fetch("https://markdown.new/", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ url: "https://example.com/file.pdf" }) }); const data = await res.json(); console.log(data.content); ``` --- ### Python ```python import requests res = requests.post( "https://markdown.new/", json={"url": "https://example.com/file.pdf"} ) data = res.json() print(data["content"]) ``` --- ## Agent Decision Tree If user provides: | Input Type | Action | | --------------- | ---------------------- | | Public file URL | Use GET or POST | | Local file | Use POST /convert | | Image | Convert then summarize | | Spreadsheet | Convert then analyze | | Webpage | Convert URL HTML | --- ## Output Expectations The Markdown should be: * Clean * Structured * AI-friendly * Minimal noise * Ready for LLM ingestion --- ## Limitations * Complex PDF layouts may lose formatting * Large spreadsheets may be truncated * Images rely on AI interpretation accuracy * Token limits may apply --- ## Summary This skill provides a **universal file-to-Markdown conversion layer** for AI systems with: * No authentication * Simple HTTP interface * Multi-format support * Structured output * Fast processing Ideal for document ingestion, RAG pipelines, and automation agents. ---