obsidian-tag-normalizer

Tag normalization standardizes tag names, applies hierarchical structures (like ai/agents), consolidates duplicates, and enforces consistent casing across all notes. Run the tag_standardizer.py script to analyze your vault and apply changes.

Yes, hierarchical tagging applies forward-slash paths (e.g., ai/agents, ai/llm) to organize tags into taxonomies. The normalizer converts flat tags into this structure while preserving semantic meaning across your vault.

Tag consolidation merges similar tags using mapping rules—for example, converting ai-agents and AI_agents into a single ai/agents tag. The script identifies duplicates and applies standardized names across all frontmatter and inline tags.

Yes, the normalizer handles English and Korean content, applying consistent taxonomy rules across mixed-language vaults while preserving language-specific semantic meaning in tag hierarchies.

The analysis report shows tag usage statistics, identifies duplicates and inconsistencies, and highlights tags that need standardization. Review this before applying changes to ensure mappings align with your vault's taxonomy.

The tag_standardizer.py script handles the normalization workflow, but you need basic familiarity with running Python scripts. Mapping rules can be configured without coding to enforce your vault's tag standards.