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Panix AI LAB

panix

Enterprise document intelligence, OCR, PDF table extraction, and LLM-ready web data pipelines built for n8n, Make.com, and AI agents.

ACTOR STATS

2 public Actors

4 total users

1 monthly user

>99% runs succeeded

Invoice, Receipt & PDF Table to JSON / Markdown OCR

Extract structured JSON table rows (headers + rows) and LLM-ready Markdown from PDF invoices, bank statements, receipts, and financial reports using IBM's Docling (DocLayNet & TableFormer) AI models. Built for n8n, Make.com, Zapier, and MCP AI Agents.

Why Use This Actor?

  • Structured JSON Tables (tables_json): Detects borderless and multi-column tables, exporting clean JSON arrays ready for Google Sheets, Excel, Airtable, or PostgreSQL.
  • RAG-Ready Markdown (full_markdown): Preserves headings, reading order, and tables for vector databases (Pinecone, Qdrant, Supabase).
  • Zero API Keys Needed: Pre-baked OCR weights run out of the box.

Input Parameters

  • documentUrls (Array, required): Direct public URLs to PDF documents or invoices.
  • extractTablesAsJson (Boolean, default: true): Exports each table as structured JSON rows alongside full Markdown.
{
"documentUrls": ["[https://arxiv.org/pdf/2408.09869](https://arxiv.org/pdf/2408.09869)"],
"extractTablesAsJson": true
}

Public Actors