- 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
# Register (10 free credits, no credit card)
curl -s -X POST https://api.frompdf.dev/register \
-H "Content-Type: application/json" \
-d '{"email": "you@example.com", "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
# 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
# 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 "password=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)
{
"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. Requires FROMPDF_API_KEY env var — register free at /register.