DeepSeek AI just released DeepSeek-OCR, a new open-source model that aims to rethink text extraction through what it calls Context Optical Compression. The launch quickly caught attention on X and GitHub, with many celebrating another big step in open document AI.
At Pulse, we were curious how it performs on the kinds of messy, high-density documents that power real business workflows. So we ran DeepSeek-OCR through our standard evaluation suite: multi-page PDFs, handwritten forms, nested tables, and scanned statements. The results were promising in theory but inconsistent in practice.
1 comment
[ 0.17 ms ] story [ 599 ms ] threadAt Pulse, we were curious how it performs on the kinds of messy, high-density documents that power real business workflows. So we ran DeepSeek-OCR through our standard evaluation suite: multi-page PDFs, handwritten forms, nested tables, and scanned statements. The results were promising in theory but inconsistent in practice.