ISC Digital Humanities
A research-tools directory for the ISC Digital Humanities platform — what's ready to use today, what's partially working, and what's planned.
12 capabilities ready to use nowGrouped by the kind of work each capability supports. Status reflects what is actually implemented and configured on this deployment, not a roadmap promise.
The tools below are stages of one workflow, not separate products. Each stage hands its output to the next.
Upload
Add a manuscript scan, PDF or image to a collection you can edit.
Extract text
Run OCR for printed sources or HTR for handwriting to turn the page image into text.
Review & correct
Check the extracted text against the page and fix it. Nothing is published until a human has read it.
Translate & analyse
Translate the corrected text, or run frequency and readability analysis over it.
Extraction, translation and analysis run from the page of an individual document. Open a collection to reach one.
Handwritten and calligraphic text requires review against the image. No accuracy guarantee applies across scripts or historical hands; unsupported pages must be reported explicitly.
Handwriting recognition is switched off for this site.
Vector/hybrid ranking layered on top of keyword search. One pgvector index serves both the AI Research Assistant's retrieval and Explore: once an item has been indexed — via the “Index for semantic search” action on the item itself — the first page of Explore's results is reordered by meaning rather than keyword score alone. Items that have not been indexed still surface normally through keyword search.
Semantic search is switched off for this site.
Page-by-page IIIF image viewing for digitized manuscripts with recorded digital representations.
The IIIF image service is switched off for this site.
These tools are the stages of one research workflow — from a page image to readable text, then translation and analysis. Every status above is read from this deployment's real configuration, the same capability matrix /api/health reports.
