provenance-research

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sebastianruffberlin / museum-inventory-reader

KI-Pipeline zur Digitalisierung historischer Museumsinventarbücher: Transkribus-HTR → 7-stufige LLM-Pipeline in n8n → GND-validierter Datensatz in SeaTable. Self-hosted, open source, ~10 Ct/Zeile.

museum self-hosted digital-humanities ner glam transkribus n8n seatable llama-cpp provenance-research

Updated Jul 7, 2026
Python

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