Obsidian plugins with #text-extraction#

The Image to text OCR plugin allows users to extract text from images within Obsidian. By selecting an image and running a command, the plugin can either replace the image with the recognized text or append the extracted text below the image. It supports various image formats, including .jpg, .jpeg, .png, and more. The plugin offers multiple language recognition options, which can be customized through the settings. It is compatible with both Obsidian and Markdown image formats, providing flexibility for different use cases. Whether for simple note-taking or more advanced document management, this plugin simplifies the process of extracting and displaying text from images.

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 PDF to Markdown Native plugin converts text based PDFs in the vault into plain Markdown using Obsidian's PDF engine and Vault APIs, with no external service or network access. It extracts text, detects simple tables and can save tables as editable Markdown, compact SVG or both. Embedded images can be extracted, resized and compressed as WebP, JPEG or PNG, while scanned or image only pages are preserved as compressed page images. A preview covers the PDF, rendered Markdown, source Markdown and output files before saving. Source PDFs can remain in place, move to Obsidian Trash or move to another vault folder, with resolving links updated while aliases stay intact. It does not use OCR or guarantee perfect recovery for complex layouts and never reads or writes outside the vault.