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AI in the Humanities & Cultural Heritage

AI is reshaping how scholars work with the historical record. This hub explores what these tools can and can't responsibly do in the humanities, from opening closed archives to the risks of trusting a machine with the past.

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Archives, Digitization & Metadata Workflows

Digitizing a collection is only half the job; making it searchable and well-described is the rest. This hub covers workflows from images to transcribed, organized records and where Leo fits in a wider digitization pipeline.

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Handwritten Text Recognition (HTR)

Handwritten text recognition turns images of manuscript pages into searchable, editable text. This hub covers how HTR works, where it succeeds and struggles, and how you can make best use of it in your workflows.

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Historical Research Workflows

Good research depends on getting from a source to an understanding of it efficiently. This hub covers workflows for historians and researchers — capturing, transcribing, organizing, searching, and analyzing archival material in one place instead of stitching separate tools together.

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HTR Software: Comparisons & Alternatives

Choosing a transcription tool means weighing accuracy, setup effort, and cost. This hub compares the main options — specialist HTR platforms, general OCR, and general-purpose AI models — and explains where each fits, and where a zero-shot model like Leo's changes the trade-offs.

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Keeping Humans in the Loop

A confident, fluent transcription can still be wrong and general AI models fail in exactly that dangerous way, producing plausible fabrications. This hub makes the case for keeping the historian in the loop, and for tools that err recoverably and keep the source verifiable.

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Reading Old Handwriting & Paleography

Secretary hand, court hand, archaic spelling, and contractions make older documents hard to read. Here you'll find practical guidance on deciphering historical hands.

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Transcribing Genealogy & Family History Records

Deeds, parish registers, wills, and census returns hold the family record, but most of it is handwritten and unsearchable. This hub covers transcribing genealogical sources and organizing them into a findable archive, so the bottleneck stops being the handwriting.

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