Trained the handwriting model for the Obsidian plugin. 2x fewer errors than the prototype on real handwriting

Trained the handwriting model for the Obsidian plugin. 2x fewer errors than the prototype on real handwriting

From r/ObsidianMD 📅 Aug 26, 2026 • 📊 466 upvotes • ⭐ 9/10 • 🚀 high
*Analysis generated: Aug 31, 2026*
🔗 Source: View on Reddit
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Summary

An update on an on-device handwriting recognition plugin for Obsidian, reporting a significant reduction in character error rate (from 14% to 6.6%, 3-4% with language model) and seeking user feedback for new features as the plugin undergoes a complete rebuild.

Key Insights

1. Advanced on-device handwriting recognition
2. Significant accuracy improvement in OCR
3. Community-driven feature development for plugins

Enhancement Suggestions

1. Implement automatic background conversion of handwritten notes to searchable text, stored invisibly within the note, making all handwritten content instantly searchable and linkable without manual steps.
2. Develop intelligent handwriting-based suggestions for tags and internal links, analyzing recognized text to streamline the organization and connection of handwritten ideas.
3. Enable seamless multi-modal note-taking, allowing users to freely intersperse handwritten diagrams or equations with typed text within the same note for a unified and dynamic capture experience.

Analysis

A significant technical advancement for a highly desired feature, offering robust, on-device handwriting recognition that greatly expands Obsidian’s utility for tablet users, students, and anyone preferring pen input.
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*Curated by AI for Paul’s Vault Members*

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