Indra OCR: its verdicts in results.parquet, its row in the card's table, and on the parameters and weak-spots charts; shorter captions on the latency, parameters and cost charts

README.md

@@ -111,6 +111,7 @@ tagged pieces of content and found no wrong tag.
 | PaddleOCR-VL-1.6 | open | 78.7 | 61.7 | 83.7 | 90.7 |
 | Infinity-Parser2-Flash | open | 78.4 | 78.4 | 66.5 | 90.4 |
 | DeepSeek-OCR-2 | open | 75.2 | 64.2 | 70.0 | 91.4 |
+| **Indra OCR** | open | 69.5 | 60.3 | 58.1 | 90.1 |
 | HunyuanOCR-1.5 | open | 64.6 | 50.5 | 61.9 | 81.4 |
 | olmOCR-2 | open | none | 71.3 | 56.6 | unsupported |
 | Nanonets-OCR2-3B | open | none | 68.2 | 62.6 | unsupported |
@@ -118,8 +119,8 @@ tagged pieces of content and found no wrong tag.
 
 \* Used in creating and verifying at least some tests.
 
-Open-weight models are served on their own GPU host from omni-parse-bench's server images, with the defaults
-each vendor recommends; each adapter's docstring lists where it differs.
+Open-weight models are served on their own host (a GPU, or CPU only for Indra OCR) from omni-parse-bench's
+server images, with the defaults each vendor recommends; each adapter's docstring lists where it differs.
 
 The headline is the mean of three family scores: text (`present`, `order` and `repeat` tests), tables
 (`table_cell`) and layout (`layout_kind`). Tesseract, olmOCR-2 and Nanonets-OCR2-3B return no layout, so

results.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ab7fe25fae520450f0d9b61f92d1c40ecca7b62cbe377e7b1da37cff2d78d14
-size 4721266
+oid sha256:615356109b42cc5f99e2e94953f3d45d00765e6edf23732e25ce73ab0d08458e
+size 4972461