New Plugins (8)#

Collect related notes based on links/backlinks to provide focused context for external AI chatbots. Explore note relationships visually and export the bundle.

The Handwriting OCR plugin converts handwritten or printed content from images and PDFs into editable text using HandwritingOCR's AI-powered recognition service. It supports a wide range of image formats, multi-page PDFs, and files up to 20MB, making it suitable for digitising notes, archival documents, or scanned material. Extracted text can be copied to the clipboard, appended to an existing note, or saved as a new note, with options accessible via the command palette or right-click menus in both the editor and file explorer. The plugin requires an API key from HandwritingOCR, validates it within the settings, and displays your remaining credits.

The Linked Note Exporter plugin lets you export a note as a complete, self-contained package along with all its linked notes and attachments. You can specify how many levels of linked notes to include, choose whether to keep the original folder structure, and optionally compress the export into a zip file. Filters allow excluding certain folders or tags, making it easy to avoid sharing private or irrelevant content. Internal links are automatically updated so the exported copy works seamlessly outside your vault. The export can be triggered from the right-click context menu or via the command palette, providing a fast and organised way to share rich, interconnected notes without broken links or missing files.

The umbPublisher plugin enables direct publishing of your notes to an Umbraco 15+ CMS instance as content items. It streamlines the process of transferring written material from your vault to a live site, removing the need for manual copy-paste or external export tools. This can be useful for content editors, developers, or teams who maintain documentation, articles, or structured content in Markdown but want to manage and display it through Umbraco. By integrating your note - taking and content management workflows, it helps maintain consistency between your local drafts and the published site.

The Sortable Tables plugin enhances table usability by allowing sorting directly in preview mode without altering the underlying note content. Clicking on a column header toggles between ascending and descending order, and multiple levels of sorting can be applied by holding Shift while selecting additional columns. This makes it easy to reorganise and view data in different ways on the fly, all while keeping the original markdown table intact.

The Bibtex Entry View plugin renders formatted bibliographic entries from a `.bib` file directly in your notes by replacing `bibkey` code blocks with detailed reference information. It detects the matching entry, displaying the citation key, author or editor names, and other fields in a customisable order defined in the settings. If the key is not found, it highlights the block in red with a strike-through to signal an invalid reference. While typing a `bibkey`, the plugin suggests matches based on partial keyword searches of selected fields, improving speed and accuracy when adding citations. Users can select or import a `.bib` file into their vault, set preferred display fields, and have the plugin sort and present them neatly.

The Clipboard Manager plugin captures and organises your clipboard history automatically while Obsidian is running, offering fast retrieval of text snippets, code blocks, and other frequently reused content. It stores entries persistently across sessions, supports configurable history limits, and allows instant search through both content and previews. A quick paste modal with hotkey support enables direct insertion into notes, while export tools save selected or all entries as properly formatted Markdown in a chosen folder. You can adjust monitoring intervals, enable notifications, and preview long text for easier identification. All data stays local in your vault with no external transmission, and the plugin is optimised for desktop use on macOS, Windows, and Linux.

The LLM Shortcut plugin streamlines prompt management by converting a folder of saved prompts into instantly accessible commands. Each file in the prompt directory becomes a command that can be triggered directly, with the current open note automatically passed as context to the chosen LLM provider. It supports any OpenAI -compatible API, giving flexibility in selecting your AI backend while keeping all activity local without external logging. The tree-like folder structure is preserved as a navigable list, making it easy to organize and access prompts for different use cases.