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Researchers are adapting olmOCR 2 to make historical photo libraries searchable locally and improve transcription of handwritten archaeological records, the Allen Institute for AI says.

Why it matters

That could help archive teams search collections and work with handwritten material without sending the task elsewhere. The announcement gives the direction of the work, though not details on its accuracy or which archives are involved. Historical records are a worthwhile test for OCR: the handwriting is rarely in a hurry to be understood.

Discuss: What should matter most in archive OCR: accurate transcription, local processing, or the ability to search a whole collection?

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