HistoriaMP Blog

AI, palaeography and digital manuscript analysis.

The blog collects articles on historical manuscripts, OCR/HTR, AI image analysis, model input, MUFI, Unicode, glyphs, minim clusters and source-bound reading. It is designed as a growing knowledge archive for Digital Humanities.

Basics HTR & LLM Method Image analysis Unicode & MUFI Glossary

May 09, 2026 · HTR · LLM · Black box · Method

HTR and LLMs in manuscript analysis: why the black box is not enough

Why automatic text recognition and large language models are useful for historical manuscripts - but methodologically insufficient without visible evidence, uncertainty status and model-input documentation.

HTRLLMBlack boxsource-bound analysis

Read article

May 02, 2026 · Unicode & MUFI · Palaeography · AI

When small signs raise big questions

Why historical manuscripts need more than automatic text recognition - and why abbreviation signs, MUFI, Unicode, glyphs and minim clusters require documented uncertainty.

historical manuscriptsglyph analysisMUFIUnicode

Read article

April 30, 2026 · AI image analysis · Method

When the model input is not the source

Why image scaling in AI analyses must be documented - and why an AI statement initially applies only to the concrete image version that was actually presented to the model.

model inputimage scalingAI analysischain of custody

Read article

Planned topic clusters

The blog will be expanded as a thematic archive.

Basics

What is digital manuscript analysis? What distinguishes OCR, HTR and AI?

Method

Why uncertainty, visual evidence and source binding must remain visible in transcriptions.

Technology & image analysis

Scaling, crops, segmentation, model input, pixel loss and verifiable analysis artifacts.

Project context

Make method and responsibility visible.

HistoriaMP is designed as a source-bound analysis platform. The project context, methodological limits and contact options are documented separately.

About HistoriaMP Contact