The OCR Extractor plugin focuses on turning embedded documents and images into searchable text using optical character recognition. It processes attachments already present in notes and converts the extracted content into clean Markdown, placing it directly below the original file inside a collapsible callout. This approach keeps the raw files untouched while still making their contents visible, searchable, and indexable by both internal search and system-level tools. The plugin supports batch extraction, either for a single note or across the entire vault, with progress shown in the status bar and the option to cancel midway. Text extraction is powered by Mistral OCR, which handles complex layouts better than basic OCR engines.

The Content-Addressed Attachments plugin stores files by their content instead of their original names, so duplicate attachments collapse into a single stored copy and links stay tied to a stable content ID. It can turn pasted or dragged files into IPFS style links, resolve those links through local storage first and fall back to configurable external gateways when needed. Another useful part is web image locking. The plugin can download remote images, verify them with a CID checksum, cache them locally and replace the original links with an internal reference format. It also includes bulk migration commands for existing local attachments and external images, which makes it practical for cleaning up a vault that already has a lot of scattered files.