AI Document Processing

TL;DR This guide shows you how to build a cost-efficient, scalable AI pipeline for job market research. We’ll move beyond simple scraping to a system that extracts, structures, and analyzes job data using AI document processing. You’ll learn to scrape job listings, process millions of documents with AI for under $100, clean and structure the data, and derive actionable insights—all with practical Python code and transparent cost breakdowns. The goal is to turn unstructured job ads into a structured database for competitive analysis, skill trend tracking, and salary benchmarking. ...

Process 1M+ Documents with AI for Under $100: A DeepSeek Cost & Technical Guide TL;DR: You can process over 1 million documents using AI for less than $100 by combining DeepSeek’s low-cost API with efficient batch processing and smart architecture. This guide provides a complete technical blueprint, including Python code, cost calculations, and optimization strategies that make large-scale AI document processing economically viable for startups and enterprises alike. Why Large-Scale AI Document Processing Is Now Shockingly Affordable For years, large-scale document processing was a luxury reserved for well-funded enterprises. Traditional OCR services and legacy extraction tools could easily cost thousands of dollars to process a million documents, putting advanced AI capabilities out of reach for most projects. ...