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@ -9,6 +9,171 @@ We stay away from soft metrics like edit distance comparisons, because they may
olmOCR-bench operates on single page PDFs directly. We make this choice because PDFs do preserve some digital metadata and information which may be helpful to some OCR systems. Almost any other format can be converted to a PDF, but not the reverse, so we try to preserve these original documents where possible.
## Results
<table>
<thead>
<tr>
<th align="left"><strong>Model</strong></th>
<th align="center">AR</th>
<th align="center">OSM</th>
<th align="center">TA</th>
<th align="center">OS</th>
<th align="center">HF</th>
<th align="center">MC</th>
<th align="center">LTT</th>
<th align="center">Base</th>
<th align="center">Overall</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">GOT OCR</td>
<td align="center">52.7</td>
<td align="center">52.0</td>
<td align="center">0.2</td>
<td align="center">22.1</td>
<td align="center">93.6</td>
<td align="center">42.0</td>
<td align="center">29.9</td>
<td align="center">94.0</td>
<td align="center">48.3 ± 1.1</td>
</tr>
<tr>
<td align="left">Marker v1.6.2</td>
<td align="center">24.3</td>
<td align="center">22.1</td>
<td align="center">69.8</td>
<td align="center">24.3</td>
<td align="center">87.1</td>
<td align="center">71.0</td>
<td align="center">76.9</td>
<td align="center"><strong>99.5</strong></td>
<td align="center">59.4 ± 1.1</td>
</tr>
<tr>
<td align="left">MinerU v1.3.10</td>
<td align="center">75.4</td>
<td align="center">47.4</td>
<td align="center">60.9</td>
<td align="center">17.3</td>
<td align="center"><strong>96.6</strong></td>
<td align="center">59.0</td>
<td align="center">39.1</td>
<td align="center">96.6</td>
<td align="center">61.5 ± 1.1</td>
</tr>
<tr>
<td align="left">Mistral OCR API</td>
<td align="center"><strong>77.2</strong></td>
<td align="center">67.5</td>
<td align="center">60.6</td>
<td align="center">29.3</td>
<td align="center">93.6</td>
<td align="center">71.3</td>
<td align="center">77.1</td>
<td align="center">99.4</td>
<td align="center">72.0 ± 1.1</td>
</tr>
<tr>
<td align="left">GPT-4o (No Anchor)</td>
<td align="center">51.5</td>
<td align="center"><strong>75.5</strong></td>
<td align="center">69.1</td>
<td align="center">40.9</td>
<td align="center">94.2</td>
<td align="center">68.9</td>
<td align="center">54.1</td>
<td align="center">96.7</td>
<td align="center">68.9 ± 1.1</td>
</tr>
<tr>
<td align="left">GPT-4o (Anchored)</td>
<td align="center">53.5</td>
<td align="center">74.5</td>
<td align="center">70.0</td>
<td align="center">40.7</td>
<td align="center">93.8</td>
<td align="center">69.3</td>
<td align="center">60.6</td>
<td align="center">96.8</td>
<td align="center">69.9 ± 1.1</td>
</tr>
<tr>
<td align="left">Gemini Flash 2 (No Anchor)</td>
<td align="center">32.1</td>
<td align="center">56.3</td>
<td align="center">61.4</td>
<td align="center">27.8</td>
<td align="center">48.0</td>
<td align="center">58.7</td>
<td align="center"><strong>84.4</strong></td>
<td align="center">94.0</td>
<td align="center">57.8 ± 1.1</td>
</tr>
<tr>
<td align="left">Gemini Flash 2 (Anchored)</td>
<td align="center">54.5</td>
<td align="center">56.1</td>
<td align="center"><strong>72.1</strong></td>
<td align="center">34.2</td>
<td align="center">64.7</td>
<td align="center">61.5</td>
<td align="center">71.5</td>
<td align="center">95.6</td>
<td align="center">63.8 ± 1.2</td>
</tr>
<tr>
<td align="left">Qwen 2 VL (No Anchor)</td>
<td align="center">19.7</td>
<td align="center">31.7</td>
<td align="center">24.2</td>
<td align="center">17.1</td>
<td align="center">88.9</td>
<td align="center">8.3</td>
<td align="center">6.8</td>
<td align="center">55.5</td>
<td align="center">31.5 ± 0.9</td>
</tr>
<tr>
<td align="left">Qwen 2.5 VL (No Anchor)</td>
<td align="center">63.1</td>
<td align="center">65.7</td>
<td align="center">67.3</td>
<td align="center">38.6</td>
<td align="center">73.6</td>
<td align="center">68.3</td>
<td align="center">49.1</td>
<td align="center">98.3</td>
<td align="center">65.5 ± 1.2</td>
</tr>
<tr>
<td align="left">olmOCR v0.1.68 (No Anchor)</td>
<td align="center">72.1</td>
<td align="center">74.7</td>
<td align="center">71.5</td>
<td align="center">43.7</td>
<td align="center">91.6</td>
<td align="center">78.5</td>
<td align="center">80.5</td>
<td align="center">98.1</td>
<td align="center">76.3 ± 1.1</td>
</tr>
<tr>
<td align="left">olmOCR v0.1.68 (Anchored)</td>
<td align="center">75.6</td>
<td align="center">75.1</td>
<td align="center">70.2</td>
<td align="center"><strong>44.5</strong></td>
<td align="center">93.4</td>
<td align="center"><strong>79.4</strong></td>
<td align="center">81.7</td>
<td align="center">99.0</td>
<td align="center"><strong>77.4 ± 1.0</strong></td>
</tr>
</tbody>
</table>
## Benchmark Principles
As we created olmOCR-bench, we also kept a few general rules in mind: