Often members will post misspelled tags. For medium to large sites its not possible to go through the tag database and manage one by one. I used to try sanitize a tag database, but its a monks task which literally takes up full workweeks without even seeing much difference. What would be really useful is a way to find similar tags and to merge these into the correct tag. Luckily there is an algorithm to identify similar words: the Levenshtein distance. Elastic Search supports this. What would be needed is: search for similar tags with the Levenshtein distance. allow us to select thread tags we want to manage. merge them into the target tag. Basically very similar to merging threads.