← Back to Skills Marketplace
OCR Local V2
by
15914355527
· GitHub ↗
· v1.0.0
· MIT-0
861
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install ocr-local-v2
Description
Extract text from images using Tesseract.js OCR (100% local, no API key required). Supports Chinese (simplified/traditional) and English.
Usage Guidance
This appears to be a legitimate local OCR skill. Things to consider before installing: (1) npm will install tesseract.js (check the dependency/version). (2) On first run Tesseract.js will download language-traineddata (≈20MB per language) from a remote host — if you need to avoid network fetches or want to control the source, run in an environment where you can vet or pre-provision the traineddata. (3) The package metadata contains a minor owner/slug mismatch in _meta.json vs. registry metadata — likely benign but you may want to confirm the skill source (repository URL) if provenance matters. (4) Run in a sandbox if you need extra caution; otherwise the code is straightforward and only processes the image you provide.
Capability Analysis
Type: OpenClaw Skill
Name: ocr-local-v2
Version: 1.0.0
The skill is a legitimate implementation of a local OCR tool using the well-known Tesseract.js library. The code in scripts/ocr.js correctly handles file paths, performs text recognition, and outputs results without any evidence of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
Name/description, package.json, SKILL.md, and scripts/ocr.js all align: a Node-based Tesseract.js OCR utility for Chinese/English. Required binary (node) and the tesseract.js dependency are appropriate and expected.
Instruction Scope
Runtime instructions and the script only read the user-supplied image path and produce text/JSON output. SKILL.md and README explicitly warn that language data (~20MB per language) will be downloaded on first run — this implies network activity to fetch traineddata, which is expected for Tesseract.js but is an external network side-effect users should know about.
Install Mechanism
The registry entry has no formal install spec, but SKILL.md metadata and package.json declare installing tesseract.js via npm. This is a standard install path (npm dependency). No arbitrary URL downloads or archive extraction in the skill bundle itself; runtime traineddata fetches are performed by tesseract.js (expected).
Credentials
The skill requests no environment variables or credentials. It does not access system config paths. No disproportionate secret or credential requests were found.
Persistence & Privilege
always is false (default). The skill does not request persistent system-wide privileges or modify other skills. It is user-invocable and may be invoked by the agent, which is the platform default.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ocr-local-v2 - After installation, invoke the skill by name or use
/ocr-local-v2 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of ocr-local skill using Tesseract.js for OCR.
- Performs text extraction from images 100% locally—no API key required.
- Supports Simplified Chinese, Traditional Chinese, and English.
- Offers language selection and JSON output options.
- First run downloads language data; later runs use cached files.
Metadata
Frequently Asked Questions
What is OCR Local V2?
Extract text from images using Tesseract.js OCR (100% local, no API key required). Supports Chinese (simplified/traditional) and English. It is an AI Agent Skill for Claude Code / OpenClaw, with 861 downloads so far.
How do I install OCR Local V2?
Run "/install ocr-local-v2" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is OCR Local V2 free?
Yes, OCR Local V2 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does OCR Local V2 support?
OCR Local V2 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created OCR Local V2?
It is built and maintained by 15914355527 (@15914355527); the current version is v1.0.0.
More Skills