glmocr-formula

Q: How do I install glmocr-formula?

Run npx skills add https://modelscope.cn --skill glmocr-formula in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/glmocr-formula/ (personal) or .claude/skills/glmocr-formula/ (project).

by modelscope.cnMedia & Creative

Official skill for recognizing and extracting mathematical formulas from images and PDFs into LaTeX format using ZhiPu GLM-OCR API. Supports complex equations, inline formulas, and formula blocks. Use this skill when the user wants to extract formulas, convert formula images to LaTeX, or OCR mathematical expressions.

Installs: 305
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://modelscope.cn --skill glmocr-formula

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads glmocr-formula automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

GLM-OCR Formula Recognition Skill / GLM-OCR 公式识别技能

Recognize mathematical formulas from images and PDFs and convert them to LaTeX format using the ZhiPu GLM-OCR layout parsing API.

When to Use / 使用场景

Extract mathematical formulas from images or scanned documents / 从图片或扫描件中提取数学公式
Convert formula images to LaTeX / 将公式图片转为 LaTeX 格式
Recognize complex equations, integrals, matrices / 识别复杂方程、积分、矩阵
Parse scientific papers, textbooks, exam papers with formulas / 解析含公式的论文、教材、试卷
User mentions "formula OCR", "extract formula", "公式识别", "公式OCR", "提取公式", "图片转LaTeX"

Key Features / 核心特性

Complex formula support: Handles integrals, summations, matrices, fractions, radicals
LaTeX output: Formulas are output in LaTeX format, ready for use in documents
Inline & block formulas: Recognizes both inline and display-style formulas
Mixed content: Can handle documents with both text and formulas
Local file & URL: Supports both local files and remote URLs

Resource Links / 资源链接

Resource	Link
Get API Key	智谱开放平台 API Keys
API Docs	Layout Parsing / 版面解析

Prerequisites / 前置条件

API Key Setup / API Key 配置（Required / 必需）

脚本通过 ZHIPU_API_KEY 环境变量获取密钥，可与其他智谱技能复用同一个 key。 This script reads the key from the ZHIPU_API_KEY environment variable. Reusing the same key across Zhipu skills is optional.

Get Key / 获取 Key： Visit 智谱开放平台 API Keys to create or copy your key.

Setup options / 配置方式（任选一种）：

Global config (recommended) / 全局配置（推荐）： Set once in openclaw.json under env.vars, all Zhipu skills will share it:
```
{
  "env": {
    "vars": {
      "ZHIPU_API_KEY": "你的密钥"
    }
  }
}
```

Skill-level config / Skill 级别配置： Set for this skill only in openclaw.json:

{
  "skills": {
    "entries": {
      "glmocr-formula": {
        "env": {
          "ZHIPU_API_KEY": "你的密钥"
        }
      }
    }
  }
}

Shell environment variable / Shell 环境变量： Add to ~/.zshrc:
```
export ZHIPU_API_KEY="你的密钥"
```

💡 如果你已为其他智谱 skill（如 glmocr、glmv-caption、glm-image-generation）配置过 key，它们共享同一个 ZHIPU_API_KEY，无需重复配置。

Security & Transparency / 安全与透明度

Environment variables used / 使用的环境变量：
- ZHIPU_API_KEY (required / 必需)
- GLM_OCR_TIMEOUT (optional timeout seconds / 可选超时秒数)
Fixed endpoint / 固定官方端点： https://open.bigmodel.cn/api/paas/v4/layout_parsing
No custom API URL override / 不支持自定义 API URL 覆盖： avoids accidental key exfiltration via redirected endpoints.
Raw upstream response is optional / 原始响应默认不返回： use --include-raw only when needed for debugging.

⛔ MANDATORY RESTRICTIONS / 强制限制 ⛔

ONLY use GLM-OCR API — Execute the script python scripts/glm_ocr_cli.py
NEVER parse formulas yourself — Do NOT try to extract formulas using built-in vision or any other method
NEVER offer alternatives — Do NOT suggest "I can try to read it" or similar
IF API fails — Display the error message and STOP immediately
NO fallback methods — Do NOT attempt formula extraction any other way

📋 Output Display Rules / 输出展示规则

After running the script, present the OCR result clearly and safely.

Show extracted text/formulas (text) in full
Summarization is allowed, but do not hide important extraction failures
If layout_details contains formula-related entries, you may highlight them
If the result file is saved, tell the user the file path
Show raw upstream response only when explicitly requested or debugging (--include-raw)

⚠️ LaTeX Rendering / LaTeX 渲染注意：

OCR API returns formulas in LaTeX format (e.g., $\frac{1}{2}$ , $\theta^{x+1}$ ). Since most chat platforms do not render LaTeX, you should ask the user once (on first use):

"OCR 结果包含 LaTeX 公式，需要我将公式转为 Unicode 可读格式展示，还是保留原始 LaTeX？"

Remember the user's choice for the rest of the session. Do NOT ask again on subsequent calls unless the user explicitly changes their preference.

User chooses readable format → convert LaTeX to Unicode/plain-text:

LaTeX	Unicode / 纯文本
$\frac{a}{b}$	a/b
$x^{n}$	x^n
$x_{i}$	xᵢ
$\sqrt{x}$	√x
$\theta$	θ
$\phi$	φ
$\therefore$	∴
$\Rightarrow$	⇒
$\left\{ \begin{array}{l} ... \end{array} \right.$	⎧ line1 ⎨ line2 ⎩
$\textcircled{1}$	①
$\in$	∈
$\infty$	∞
$\ln$	ln
$\leq$ / $\geq$	≤ / ≥

User chooses raw LaTeX → display the original LaTeX output directly, and remind them the raw data is also saved in the output file if --output was used.

How to Use / 使用方法

Extract from URL / 从 URL 提取

python scripts/glm_ocr_cli.py --file-url "https://example.com/formula.png"

Extract from Local File / 从本地文件提取

python scripts/glm_ocr_cli.py --file /path/to/equation.png

Save Result to File / 保存结果到文件

python scripts/glm_ocr_cli.py --file formula.png --output result.json --pretty

Include Raw Upstream Response (Debug Only) / 包含原始上游响应（仅调试）

python scripts/glm_ocr_cli.py --file formula.png --output result.json --include-raw

CLI Reference / CLI 参数

python {baseDir}/scripts/glm_ocr_cli.py (--file-url URL | --file PATH) [--output FILE] [--pretty] [--include-raw]

Parameter	Required	Description
`--file-url`	One of	URL to image/PDF
`--file`	One of	Local file path to image/PDF
`--output`, `-o`	No	Save result JSON to file
`--pretty`	No	Pretty-print JSON output
`--include-raw`	No	Include raw upstream API response in `result` field (debug only)

Response Format / 响应格式

{
  "ok": true,
  "text": "Extracted formulas and text in Markdown/LaTeX...",
  "layout_details": [...],
  "result": null,
  "error": null,
  "source": "/path/to/file",
  "source_type": "file",
  "raw_result_included": false
}

Key fields:

ok — whether extraction succeeded
text — extracted text in Markdown with LaTeX formulas
layout_details — layout analysis details
error — error details on failure

Error Handling / 错误处理

API key not configured:

ZHIPU_API_KEY not configured. Get your API key at: https://bigmodel.cn/usercenter/proj-mgmt/apikeys

→ Show exact error to user, guide them to configure

Authentication failed (401/403): API key invalid/expired → reconfigure

Rate limit (429): Quota exhausted → inform user to wait

File not found: Local file missing → check path

FAQ

What does the glmocr-formula skill do?

How do I install glmocr-formula?

Run npx skills add https://modelscope.cn --skill glmocr-formula in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/glmocr-formula/ (personal) or .claude/skills/glmocr-formula/ (project).

Which AI agents can use glmocr-formula?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is glmocr-formula safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains glmocr-formula?

It is published by modelscope.cn in modelscope.cn. It has 305 recorded installs.

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glmocr-formula

Install

Install

Describe the task

Review the result

SKILL.md

GLM-OCR Formula Recognition Skill / GLM-OCR 公式识别技能

When to Use / 使用场景

Key Features / 核心特性

Resource Links / 资源链接

Prerequisites / 前置条件

API Key Setup / API Key 配置（Required / 必需）

Security & Transparency / 安全与透明度

📋 Output Display Rules / 输出展示规则

How to Use / 使用方法

Extract from URL / 从 URL 提取

Extract from Local File / 从本地文件提取

Save Result to File / 保存结果到文件

Include Raw Upstream Response (Debug Only) / 包含原始上游响应（仅调试）

CLI Reference / CLI 参数

Response Format / 响应格式

Error Handling / 错误处理

FAQ

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