Disclaimer: All calculations, models, and intelligence outputs are generated for informational purposes only and do not constitute legal, tax, or financial advice.
Prototype Demo Simulating zero-retention extraction on Modal serverless GPU cluster.
B2B Workflow Prototype Backend: python/pdf_table_extractor.py

Complex Document & Table Extractor

Transform messy scanned PDFs, invoices, and logistics tables into clean structured Excel/JSON in seconds.

Strategic Context & How To Use:

Enterprise layout-aware document processing pipeline for parsing complex multi-column financial statements, insurance policies, and supplier invoices. Extracts structured key-value pairs and tabular data from unstructured PDFs directly into downstream ERP and CRM data schemas.

Ingestion Target

Upload PDF or Scanned Image

Multi-page PDFs, PNG, or JPG (Up to 25MB)

Modal Serverless Engine: Qwen2.5-VL-7B
Hardware Target: NVIDIA T4 (16GB VRAM)
Retention Policy: Zero Storage (RAM only)
[STANDBY] Awaiting document upload or sample selection...

Need high-volume PDF parsing for your organization?

We deploy dedicated, air-gapped on-premise or Modal GPU pipelines for your proprietary schemas.

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