Skill: techtonicllc/frompdf-api (version 1.0.0)

--- name: frompdf description: PDF extraction API for AI agents and LLM pipelines. Converts any PDF into semantic AST, markdown, HTML, plain text, or LLM-ready chunks — no page limit. Also supports semantic diff between two PDFs and readability scoring. Use when you need structured, typed content from a PDF (headings, paragraphs, tables, lists) instead of raw text, or when OpenClaw's native PDF tool hits its 20-page limit. Requires FROMPDF_API_KEY. PDF contents are uploaded to api.frompdf.dev for processing. homepage: https://api.frompdf.dev metadata: {"clawdbot":{"emoji":"📄","requires":{"env":["FROMPDF_API_KEY"]}}} --- # frompdf Convert any PDF into structured, LLM-ready content via a single API call. Returns a semantic AST with every element — headings, paragraphs, tables, lists, metadata — properly typed and nested. No page limit. Handles encrypted PDFs, complex layouts, and multi-hundred-page documents. ## Quick start ```bash # Register (10 free credits, no credit card) curl -s -X POST https://api.frompdf.dev/register \ -H "Content-Type: application/json" \ -d '{"email": "[REDACTED_SECRET]", "password": "yourpassword"}' # → {"api_key": "frompdf_..."} # Extract a PDF (returns JSON semantic AST by default) curl -s -X POST https://api.frompdf.dev/v1/extract \ -H "Authorization: Bearer $FROMPDF_API_KEY" \ -F "file=@document.pdf" ``` ## Output formats ```bash # Semantic AST — typed elements: headings, paragraphs, tables, lists (default) -F "format=json" # Markdown — structure preserved, human-readable -F "format=markdown" # HTML — full document with tags intact -F "format=html" # Plain text — clean extraction, no markup -F "format=text" # LLM-ready chunks — pre-split for RAG / vector store ingestion -F "format=chunks" ``` ## All endpoints ```bash # Extract content from a PDF (1 credit) curl -s -X POST https://api.frompdf.dev/v1/extract \ -H "Authorization: Bearer $FROMPDF_API_KEY" \ -F "file=@document.pdf" \ -F "format=chunks" # Encrypted PDF curl -s -X POST https://api.frompdf.dev/v1/extract \ -H "Authorization: Bearer $FROMPDF_API_KEY" \ -F "file=@protected.pdf" \ -F "[REDACTED_SECRET]" # Semantic diff — compare two PDFs, get structured changes (2 credits) curl -s -X POST https://api.frompdf.dev/v1/diff \ -H "Authorization: Bearer $FROMPDF_API_KEY" \ -F "file_a=@v1.pdf" \ -F "file_b=@v2.pdf" # Readability score — returns 0-100 score for a PDF (1 credit) curl -s -X POST https://api.frompdf.dev/v1/score \ -H "Authorization: Bearer $FROMPDF_API_KEY" \ -F "file=@document.pdf" # Check credits and subscription status (free) curl -s https://api.frompdf.dev/v1/usage \ -H "Authorization: Bearer $FROMPDF_API_KEY" ``` ## Example output (JSON) ```json { "title": "AWS Lambda Developer Guide", "pages": 87, "sections": [ { "type": "heading", "level": 1, "text": "Getting Started" }, { "type": "paragraph", "text": "AWS Lambda is a serverless compute service..." }, { "type": "table", "headers": ["Runtime", "Version", "Status"], "rows": [["Node.js 20", "20.x", "Active"], ["Python 3.12", "3.12", "Active"]] }, { "type": "list", "items": ["Function", "Trigger", "Execution role"] } ], "metadata": { "author": "Amazon Web Services", "created": "2024-01-15" } } ``` ## Pricing $0.01/credit — extract (1), diff (2), score (1). First 10 credits free, no credit card required. ## Data & privacy PDF contents are uploaded to `api.frompdf.dev` for processing. Do not use with confidential documents unless you have reviewed the [privacy policy](https://api.frompdf.dev). Requires `FROMPDF_API_KEY` env var — register free at `/register`.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)