HunyuanOCR: The 1-Billion-Parameter End-to-End Model That Replaces Six OCR Pipelines

HunyuanOCR: How a 1-Billion-Parameter End-to-End Model Just Replaced Six Separate OCR Pipelines Can a single, lightweight vision-language model really outperform heavy-weight commercial APIs, traditional cascades, and even 200 B+ VLMs on text spotting, document parsing, information extraction, subtitle reading, and photo translation—all at once? Yes, and this post shows exactly what makes it tick, how to run it today, and where it still draws the line. Why you should care: a one-sentence takeaway If your product still chains five different OCR micro-services—and you pay latency, error-propagation, and maintenance for each—HunyuanOCR offers one inference call, one-second latency, and better accuracy with …