11 min read3 days ago
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*You don’t need a Medium membership — you can read my full article here 👇 *DeepSeek OCR — The Quiet Revolution Making Document Processing 10× Cheaper
Picture this: You’re running an enterprise system that processes thousands of invoices daily. Each scanned PDF gets fed into GPT-4 for extraction and analysis. Your monthly AI bill? A cool $50,000. Now imagine cutting that to $5,000 — same accuracy, same documents, zero compromise.
Sound impossible? It wasn’t, until now.
Welcome to the era where text isn’t light anymore — it’s the heaviest, most expensive resource in your AI pipeline.…
11 min read3 days ago
–
*You don’t need a Medium membership — you can read my full article here 👇 *DeepSeek OCR — The Quiet Revolution Making Document Processing 10× Cheaper
Picture this: You’re running an enterprise system that processes thousands of invoices daily. Each scanned PDF gets fed into GPT-4 for extraction and analysis. Your monthly AI bill? A cool $50,000. Now imagine cutting that to $5,000 — same accuracy, same documents, zero compromise.
Sound impossible? It wasn’t, until now.
Welcome to the era where text isn’t light anymore — it’s the heaviest, most expensive resource in your AI pipeline. And a quiet breakthrough called DeepSeek OCR just flipped the entire game on its head.
🔥 Why This Matters Right Now
We’re living through a paradox. Large Language Models (LLMs) can write poetry, code entire applications, and reason through complex problems — but they choke on a simple 200-page contract. Why?
Tokens.
Every character you feed into an LLM costs money and consumes precious context window space. A single scanned invoice? That’s 1,000–5,000 tokens. A legal document? Easily 50,000+. Corporate knowledge bases with millions of pages? The numbers become astronomical.
Traditional OCR tools like Tesseract were built in a different era — they extract text, but they don’t…