Obsidian plugins with #auto-tagging#

The Vaultend plugin helps keep a vault tidy by mixing AI assisted note organisation with local maintenance tools. It can analyse the current note or a whole folder, suggest tags and links, summarise content and let you review every change before applying it. It also merges duplicate tags, scans for broken links, empty notes, orphans and similar files, then gives archive, delete, dismiss and undo actions from the same workflow. You can exclude folders, tags or properties, redact patterns before anything is sent out and track every change in an activity log with restore support. Cost display after each AI call is another useful touch, especially if you organise notes in batches.

The ExMemo Assistant plugin enhances document management in Obsidian by using large language models (LLM) to automatically generate and update metadata for files. This includes generating tags, short descriptions, and metadata elements like titles, creation dates, and editing dates. The plugin helps users organize their notes more efficiently by avoiding redundant tags and ensuring consistency across the vault. Users can customize tag generation, description prompts, and manage content truncation to control model usage costs. The plugin also allows for on-demand metadata generation through a simple command, streamlining workflows and reducing the manual effort required for note organization and editing.

The My Thesaurus plugin enhances note organization in Obsidian by automatically tagging notes based on a custom thesaurus. It scans note titles, properties, and content for predefined terms and their synonyms, adding corresponding tags without requiring manual input. The plugin supports both CSV and Markdown-based thesaurus formats, allowing users to define custom term-synonym mappings. Users can configure search sensitivity, including case-insensitivity and optional accent removal, ensuring flexibility in recognizing variations of words.

The LLM Tagger plugin enhances note organization in Obsidian by using locally running large language models via Ollama to automatically generate relevant tags. It processes notes efficiently, avoiding re-tagging unchanged files, and can create brief summaries alongside the generated tags. Users can customize their tag list for more focused categorization and select different LLM models for processing. The plugin also supports an auto-tagging feature that applies tags to newly created or modified notes. With local processing, it ensures privacy and speed while maintaining a seamless tagging workflow.

The Auto Tag plugin enhances the metadata of your Obsidian notes by generating relevant tags automatically. Leveraging the OpenAI API, the plugin analyzes either the entire note or a selected portion to suggest accurate and contextually appropriate tags. These tags are integrated into the frontmatter, creating it if it does not already exist. Users can customize tag formats, preview suggestions before insertion, and take advantage of language detection to generate tags in the note's language. The plugin features a demo mode for experimentation without requiring an API key, and it includes options for managing OpenAI API costs effectively. It also provides a choice between predictable and creative tag suggestions to suit user preferences.