Convert text in images to editable strings using the glm-4v-flash model.
npx skills add https://github.com/Wcowin/zhipu-OCR-skill --skill ocr-wcowin
Please help me install this Agent Skill. Skill: ocr Source: https://github.com/Wcowin/zhipu-OCR-skill/tree/main Command: npx skills add https://github.com/Wcowin/zhipu-OCR-skill --skill ocr-wcowin
Converting text inside photos, screenshots, and scanned images into usable editable text without manual retyping.
Run OCR on an image by calling the skill with the image path, for example: "Recognize the text in /path/to/image.jpg."
High-intent search queries and answers about installing and using this skill.
You can extract text from images using an agent skill by passing an image path to the OCR tool, which uses the glm-4v-flash model to convert document scans, screenshots, or photos into editable strings.
Yes, performing optical character recognition on screenshots requires an accessible ZhipuAI API key configured via the ZHIPUAI_API_KEY environment variable to authenticate requests to the glm-4v-flash model.
Yes, you can process multiple image files for document digitization in a single run because the OCR skill supports batch recognition, validating file extensions and existence for multiple images simultaneously.
The best way to digitize table-heavy content from scanned documents is using flexible prompting within the OCR skill, allowing you to specify instructions to extract full text, tables, or specific content accurately.
The image-to-text conversion process validates supported file extensions before processing, ensuring that only accessible and compatible image files are sent to the vision model for accurate transcription.
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