How to Use Fictional Location Finder
Enter descriptive keywords such as floating archive, hidden market, moss road, storm city, old gate, or memory library. The finder works best when the query contains concrete images rather than a single abstract mood.
Choose the preferred atmosphere: mystery, nature, urban, ancient, cozy, eerie, romantic, epic, whimsical, futuristic, desert, ocean, sky, or subterranean. The calculator then ranks the built-in locations by overlap between your query, tags, category, world name, and description.
Read the top match and the supporting cards. Each card includes the location name, fictional world, localized atmosphere, description, scene hook, and keywords. If the result is close but not perfect, change the atmosphere first, then refine the keywords.
Formula & Theory - Fictional Location Finder
The core rule used by the Fictional Location Finder is:
Location relevance = keyword overlap + atmosphere preference match + tag similarity score.The finder uses simple front-end relevance scoring. Keyword overlap receives the largest weight because it captures direct textual similarity. Preference match adds a category boost. Tag similarity provides a smaller signal for related concepts.
This is not a large language model or external search engine. The database is intentionally small and built into the page, so every result is deterministic and private.
The value is speed during worldbuilding. Instead of staring at a blank map, the user gets a place seed that can be expanded into geography, history, conflict, or scene design.
Use Cases for Fictional Location Finder
The Fictional Location Finder is especially useful in these situations:
- Generate place names for fiction or games.
- Find a setting seed for a roleplaying session.
- Create mood-specific location prompts for artists.
- Compare several atmosphere branches for the same premise.
- Teach basic search ranking with a small readable dataset.