Description

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.

Handwriting OCR Plugin for Obsidian

Transform handwritten documents and scanned images into editable text with HandwritingOCR's AI-powered handwriting to text conversion. Perfect for digitizing handwritten notes, converting legacy documents, and making your analog content searchable within Obsidian.

Extract text directly to your clipboard, create new notes with formatted content, or append OCR results to your existing notes. Supports PDFs and common image formats.

Plugin Demo

Features

Extract text from images (JPG, PNG, GIF, BMP, TIFF, HEIC, WEBP) and PDFs
Superior handwriting recognition compared to standard OCR (and great for printed text too!)
Simple integration with Obsidian's UI:
- Right-click menu on supported files
- Command palette commands
- Replace or append extracted text
API key validation with credit balance display
Support for files up to 20MB

Setup

Install the plugin
Get your API key from handwritingocr.com.
Enter your API key in the plugin settings
Click "Validate" to check your key and view remaining credits

Usage

From Editor

Insert an image or PDF link in your note (e.g., ![[document.pdf]])
Select the link
Use one of these methods:
- Command palette: "Handwriting OCR: Replace selection" or "Append to selection"
- Right-click → "Handwriting OCR" → Choose action

From File Explorer

Right-click on any supported image or PDF file
Select "Handwriting OCR" → Choose action:
- "Extract text to clipboard"
- "Extract to new note"

Supported File Types

Images: JPG, JPEG, PNG, GIF, BMP, TIFF, TIF, HEIC, WEBP
Documents: PDF
Maximum file size: 20MB

Credits

Each page processed consumes one credit from your Handwriting OCR account. Multi-page PDFs consume multiple credits. Please note that HandwritingOCR is a paid service that requires the creation of a user account. However, the free trial credits you receive when creating an account will provide you with full access to the service so you can decide whether it is of use to you.

Development

# Install dependencies
npm install

# Build for development
npm run dev

# Build for production
npm run build

License

MIT

Handwriting OCR

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Changelog

README file from