Extract mathematical formulas from images and PDFs into LaTeX.
npx skills add https://github.com/ViewWay/openclaw-skills --skill glmocr-formula-viewway
Please help me install this Agent Skill. Skill: glmocr-formula Source: https://github.com/ViewWay/openclaw-skills/tree/main/glmocr-formula Command: npx skills add https://github.com/ViewWay/openclaw-skills --skill glmocr-formula-viewway
Recognize mathematical formulas from images and PDFs and convert them to LaTeX format using the ZhiPu GLM-OCR layout parsing API.
Run the GLM-OCR CLI to extract formulas from a local image or URL and convert them to LaTeX.
High-intent search queries and answers about installing and using this skill.
You can extract math formulas from images and convert them to LaTeX by processing local files or remote URLs through the GLM-OCR layout parsing API. It handles complex equations, matrices, and integrals directly.
Yes, PDF formula extraction detects both inline and display-style formulas within mixed content documents. It identifies mathematical expressions alongside standard text and outputs them in LaTeX format.
Yes, image-to-LaTeX conversion requires setting the ZHIPU_API_KEY environment variable to authenticate requests. The Skill uses a fixed endpoint for the GLM-OCR API to process your inputs.
LaTeX extraction supports complex formula structures including integrals, matrices, fractions, and radicals. It parses mathematical layouts from both images and PDFs to generate ready-to-use LaTeX output.
Yes, formula OCR handles both local image files and remote URLs for converting mathematical content to LaTeX. It includes robust error handling during the layout parsing process to manage processing failures.
Math extraction from mixed content documents is limited to parsing text and formulas for LaTeX conversion. While it applies robust error handling, users can optionally retrieve raw results to verify complex layout parsing accuracy.
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