TU Wien Computer Vision Lab
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- olmOCR 2 brings local, searchable transcription to archives
Ai2 reports that researchers are adapting the open olmOCR 2 model to extract searchable text from historical and archaeological document images, including handwriting and complex layouts. In the CENTURIA evaluation, LoRA fine-tuning on 57 records reduced transcription error from 15.58% to 1.11% across 450 test records, while ArtificeOCR uses the model locally with Tropy.
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