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pdf-ocr-extraction
作者
bilicen700
· GitHub ↗
· v1.0.3
· MIT-0
579
总下载
1
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install pdf-ocr-extraction
功能描述
Extract text from image-based or scanned PDFs using Tesseract OCR.
安全使用建议
This skill appears to do what it says, but take these precautions before installing or running it:
- Verify and install tesseract from your distro/vendor and make sure required language packs (e.g., eng, chi_sim) are present; the skill will not auto-download them.
- Install Python packages from trusted sources (pip PyPI) and pin versions if you care about supply-chain consistency. pypdfium2 and pytesseract include native code — review wheels if you require extra assurance.
- Run OCR in a restricted environment (container or dedicated VM) if processing untrusted PDFs, as OCR returns document text which may contain sensitive data.
- Improve the example by using secure temporary-file APIs (tempfile.NamedTemporaryFile or mkstemp) rather than predictable filenames in /tmp to avoid symlink/race attacks.
- Because the skill's source is unknown, review or run the example code locally before granting any automated agent access; do not expose sensitive documents to an unreviewed or autonomous agent without oversight.
功能分析
Type: OpenClaw Skill
Name: pdf-ocr-extraction
Version: 1.0.3
The skill provides a standard implementation for performing OCR on scanned PDFs using Tesseract and common Python libraries (pypdfium2, pytesseract, Pillow). The code snippet in SKILL.md performs local processing, includes basic cleanup of temporary image files in /tmp/, and contains no indicators of malicious intent, data exfiltration, or prompt injection.
能力评估
Purpose & Capability
Name, description, required binaries (tesseract, python3), and Python dependencies (pypdfium2, pytesseract, Pillow) are exactly what you'd expect for a local Tesseract-based PDF OCR tool. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md contains concrete instructions to render PDF pages to images, OCR them, and clean up temporary files in /tmp — this is appropriate for the purpose. Note: example code uses predictable filenames (/tmp/page_{i}.png) which can be vulnerable to race/symlink attacks on multi-user systems; it also assumes language packs are present and instructs not to auto-download them. The skill will read full document contents (expected for OCR) — treat sensitive PDFs accordingly.
Install Mechanism
Install metadata uses a system package for tesseract and a 'uv' entry to install pypdfium2, pytesseract, and Pillow. This is proportional to the task. 'uv' corresponds to installing Python packages (moderate trust surface because wheels/binaries may include native code), but no arbitrary downloads or unfamiliar hosts are specified.
Credentials
No environment variables, credentials, or config paths are requested. The absence of secrets is consistent with a purely local OCR tool.
Persistence & Privilege
The skill is not forced-available (always: false) and does not request persistent system-wide privileges or modify other skills. It can be invoked autonomously by the agent (platform default) — this is normal but means agents could OCR documents if given access.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install pdf-ocr-extraction - 安装完成后，直接呼叫该 Skill 的名称或使用
/pdf-ocr-extraction触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.3
**Minor update for clarity and metadata improvements.**
- Improved documentation with clear separation of dependencies and quick start instructions.
- Added detailed metadata block defining required binaries and installation steps for both system and Python dependencies.
- Updated guidance to avoid running automated installations at runtime; users/environment must pre-install prerequisites.
- Enhanced security section: instructs storing temporary images only in `/tmp/` and immediate cleanup.
- Provided a full, copy-pasteable Python extraction script for better usability.
v1.0.2
- Highlighted that the skill is completely free, requires no third-party APIs, and has unlimited usage.
- No changes to workflows, installation, or technical details.
v1.0.1
- Documentation rewritten in English with clearer structure and concise instructions.
- No functional or code changes; core usage and workflow remain the same.
- Improved quick start and usage instructions for broader accessibility.
- Notes and caveats updated for clarity on OCR accuracy and system requirements.
v1.0.0
- Initial release of PDF OCR & Extraction skill.
- Enables text extraction from scanned or image-based PDFs using OCR, bypassing standard PDF parsing limitations.
- Automatically checks for and installs required dependencies: pypdfium2, pytesseract, Pillow.
- Processes each PDF page as a high-resolution image and extracts text using Tesseract OCR (supports Chinese and English).
- Designed for scenarios where standard PDF parsers fail due to encryption or missing text layer.
元数据
常见问题
pdf-ocr-extraction 是什么？
Extract text from image-based or scanned PDFs using Tesseract OCR. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 579 次。
如何安装 pdf-ocr-extraction？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pdf-ocr-extraction」即可一键安装，无需额外配置。
pdf-ocr-extraction 是免费的吗？
是的，pdf-ocr-extraction 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
pdf-ocr-extraction 支持哪些平台？
pdf-ocr-extraction 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 pdf-ocr-extraction？
由 bilicen700（@bilicen700）开发并维护，当前版本 v1.0.3。
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