  This paper presents a framework for semi-automatic transcription of
large-scale historical handwritten documents and proposes a simple
user-friendly text extractor tool, TexT for transcription. The proposed
approach provides a quick and easy transcription of text using computer
assisted interactive technique. The algorithm finds multiple occurrences of the
marked text on-the-fly using a word spotting system. TexT is also capable of
performing on-the-fly annotation of handwritten text with automatic generation
of ground truth labels, and dynamic adjustment and correction of user generated
bounding box annotations with the word being perfectly encapsulated. The user
can view the document and the found words in the original form or with
background noise removed for easier visualization of transcription results. The
effectiveness of TexT is demonstrated on an archival manuscript collection from
well-known publicly available dataset.
