Handwritten Text Recognition (HTR)

AM Quartex enables transcription and full-text search of manuscript documents using Handwritten Text Recognition (HTR), an in-platform service customers can selectively apply. This proprietary neural network technology leverages artificial intelligence to recognize text in a multitude of scripts with remarkable accuracy, opening up manuscripts for detailed exploration by students and researchers.

Scroll down for more information about HTR, including samples - and be sure to check out the Manuscripts collection for more handwritten content.

HTR Transcriptions

AM Quartex customers can use HTR to automatically generate transcriptions of English and foreign langage handwritten material. At the click of a button, HTR Transcription has the power to transform the close reading and research potential of manuscript collections. What's more, these transcripts can be downloaded by users or edited within Quartex to make alterations to enhance accuracy, meet screen-reader requirements and facilitate digital scholarship.

HTR Transcription also makes manuscript materials site searchable, optimising the discoverability of previously undiscovered or under-represented voices in your collections. 

Some frequently asked questions about HTR can be read below.

How accurate is HTR?
What languages can HTR Transcription read? 
Are HTR Transcripts eligible for download?
Does HTR Transcription work across manuscripts from any era?
Can HTR Transcripts be edited?
Placeholder - multipleThumbnails
API Data: {"value":"API Not Configured"}