Transkribus Community · Super Model · Published November 19, 2024
Spanish Sage (Super Model)
Text RecognitionScholar+
Description
Spanish Sage is a versatile super model in Transkribus for recognising handwritten and printed Spanish texts. Trained on Coloso Español and enriched with community data, it handles a wide range of documents, from medieval manuscripts to modern prints. Designed for general use, it offers robust performance across diverse Spanish scripts and periods.
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Use this modelOpen in Transkribus
Very low error rate2.8% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 2.8% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material. Super Models are trained on very large and diverse datasets, making them robust across a wide range of handwriting styles and languages. Because of this diversity, a low CER on the validation set is a strong indicator of general-purpose quality.
Measured on the model's own validation data. Results on your documents may differ depending on handwriting style, document condition, language, and how closely your material resembles the training data.
Words12,000,000
Model ID223065