Jina AI releases compact OCR model for low-budget GPUs

Jina AI released jina-ocr-v1, a 3.4B-parameter mixture-of-experts document parser (about 570M active parameters per token) that converts PDFs, scans, tables and charts into Markdown. Built on DeepSeek-OCR with speculative decoding, it scores 91.14 on OmniDocBench v1.6 and 83.4 on olmOCR-Bench, processing 2.57 pages per second on one A100. Weights are on Hugging Face under CC BY-NC 4.0.

Why it matters: Document parsing is one of the most common practical AI workloads, and a small, efficient model that runs on modest hardware lowers the cost barrier for OCR pipelines that previously needed much larger models.