~/talk

AI and Data Extraction: Practical Strategies for Secure Workflows

name:Abhnaya
links:none on file
slides:none on file

Demonstrates using Apprise’s IDP with table detection, form detection and OCR to convert PDFs into JSON with positions and field labels, then perform selective extraction so only vendor, line items and totals go to LLMs. Shows token pricing ($0.0025 per 1,000 input tokens), calculates 1,000 invoices ≈ $5 per prompt, and argues on-prem SDKs or edge preprocessing prevents data leaks and cuts storage, compute and bandwidth. Recommends coupling IDP output with RAG for accurate, smaller LLM inputs.

AI-written summary · about

  1. 0:00Introduction to AI data extraction
  2. 1:15Challenges with PDF data extraction
  3. 3:23Cost and security risks of LLMs
  4. 8:18Solutions for efficient extraction
  5. 15:44Future of IDP and summary
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