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olmOCR 2 brings local, searchable transcription to archives

AI summary

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.

In-depth insight

The reported adaptations demonstrate that olmOCR 2 can support locally deployed, expert-reviewed transcription workflows for institutions that cannot send archival materials to commercial APIs.

How researchers are adapting olmOCR 2 for historical and archaeological archives

October 28, 2026

Ai2


olmOCR 2 is Ai2’s open model for extracting searchable, structured text from document images, including handwriting and complex layouts. Its weights, fine-tuning data, and code let researchers run it locally and adapt it to their research needs.

#olmOCR 2#Ai2#ArtificeOCR#Tropy#CENTURIA#LEGION#TU Wien Computer Vision Lab#Austrian Archaeological Institute#Austrian Academy of Sciences#LoRA

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