The search automatically expands common abbreviations:
It also handles possessives automatically. Searching for Marys will find Mary's, Marys, and Marys'.
Example:
Searching for St Marys finds: St Marys, St Mary's, Saint Marys, Saint Mary's
Use double quotes to search for exact phrases:
"London Road" will only match that exact phrase"Market Square" won't match "Market" or "Square" separatelyTick this option to search within the text extracted from PDF documents and images. This provides a more thorough search but may return more results.
Artifact
Booklet
Document
Electronic
Library
Map
Photograph
Recording
"St Marys Church" is better than just "church"
Try P000960 to find specific items
Click Search with no keywords to see all items
The History of Tetbury Society (HoTS) is dedicated to researching, preserving, and sharing the rich history of Tetbury and its surrounding areas. Our archives contain thousands of historical documents, photographs, maps, and artifacts spanning several centuries.
This digital archive system provides public access to our collection, making it easier for researchers, historians, genealogists, and anyone interested in local history to discover and explore our holdings.
The archive includes:
This archive uses intelligent search technology that understands natural language, automatically expands abbreviations, and searches through OCR-extracted text from documents. The system is designed to help you find relevant items even when you're not sure of the exact wording.
Website: www.tetburyhistory.com
Contact: Contact Form
For inquiries about access to physical materials, research assistance, or to report any issues with this digital archive, please use our contact form.
Copyright & Usage: Materials in this archive are provided for research and educational purposes. Copyright remains with the History of Tetbury Society unless otherwise noted. Please contact us if you wish to reproduce or publish any materials.
Technical Information: This archive uses up to date technology featuring intelligent search pre-processing with abbreviation expansion, search normalisation, and relevance-based ranking. The system uses Optical Character Recognition (OCR) technology combined with Large Language Models (LLMs)to make historical documents easier to search.
Feedback:We welcome your feedback on our online archive's functionality and any suggestions for improvement. Please use our contact page to share your thoughts.