Nüsha OCR
Recognize clear, orderly handwriting
Try HTR/OCR on legible handwriting with distinct lines, and review the generated text against the source.
Handwriting recognition involves more variation than printed text. Clear, consistent writing with separate lines is a better starting point. Select the profile matching the document’s script and language.
Updated:
How to use it
- Prepare a sharp page image without shadows.
- Compare one representative page using your trial allowance.
- Mark uncertain words, correct names and numbers, then decide whether to process more pages.
Choosing a suitable sample
Start with distinguishable letters and lines, with marginal notes separated from the main text. Evaluate different writers and damaged pages separately, even within one document.
Review your results
Highly cursive hands, overlapping annotations and faded ink may not produce dependable results. The service does not promise to read every manuscript or replace expert palaeographic review.
Frequently asked questions
How do HTR and OCR differ?
OCR commonly refers to printed text recognition; HTR refers to handwriting recognition. Both outputs need checking against the source.
Should I begin with the whole manuscript?
First choose a small sample containing clear and difficult pages. Assess the output and correction work before expanding the job.