glmocr-handwritingOfficial skill for recognizing handwritten text from images using ZhiPu GLM-OCR API. Supports various handwriting styles, languages, and mixed handwritten/pr...
Install via ClawdBot CLI:
clawdbot install jaredforreal/glmocr-handwritingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/zai-org/GLM-OCR/tree/main/skills/glmocr-handwritingAudited Apr 16, 2026 · audit v1.0
Generated May 6, 2026
Convert handwritten meeting notes from images or scanned PDFs into editable digital text, enabling easy search, sharing, and archiving. Useful for teams that rely on paper-based note-taking.
Automatically extract text from handwritten survey responses, feedback forms, or application forms to streamline data entry and analysis. Reduces manual transcription errors.
Transcribe historical letters, manuscripts, or archival materials into machine-readable text for preservation, indexing, and digital access. Supports multilingual content.
Provide real-time transcription of handwritten notes into text for visually impaired users or those with reading difficulties. Integrates with assistive technology workflows.
Recognize handwritten annotations on printed documents, diagrams, or whiteboard photos, combining both printed and handwritten text into a unified digital copy.
Charge users based on the number of OCR API calls (per image or per page). Suitable for platforms with variable usage, enabling pay-as-you-go access. Revenue scales with usage volume.
Offer monthly or annual subscriptions with different call limits (e.g., Basic, Pro, Enterprise). Additional features like batch processing or higher priority support at higher tiers.
License the skill to third-party apps (e.g., note-taking apps, document management systems) as an integrated feature. Revenue via licensing fees or revenue sharing.
💬 Integration Tip
Set up the ZHIPU_API_KEY environment variable globally in openclaw.json for easy reuse across multiple Zhipu skills. Use the provided CLI script with --file-url or --file for quick integration into existing data pipelines.
Scored Jun 25, 2026
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