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Messaging & Channels

Tesseract Ocr skill for OpenClaw

⬇ 6K downloads ★ 2 stars Version 1.0.0 Rank #1018 of 10,000+

What this skill does

Extract text from images using the Tesseract OCR engine directly via command line. Supports multiple languages including Chinese, English, and more.

The Tesseract Ocr skill is part of the Messaging & Channels category — messaging and channel skills that connect your agent to chat platforms. You can install it on its own or alongside other messaging & channels skills from the OpenClaw catalog.

The Tesseract Ocr skill is ranked #1018 by downloads in the OpenClaw skill catalog (6K total downloads, 2 stars). It belongs to the Messaging & Channels category alongside 454 other top-10000 skills.

How to install the Tesseract Ocr skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for tesseract-ocr and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Tesseract Ocr skill with a single command:

openclaw skills add tesseract-ocr

This pulls tesseract-ocr from ClawHub and installs it into ~/.openclaw/skills/tesseract-ocr/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Tesseract Ocr skill

Once installed, the Tesseract Ocr skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Turning images into video

Tesseract Ocr works with images. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — turns stills into motion — pans and transitions, synced captions, and a vertical export for short-form feeds.

It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab tesseract-ocr-1.0.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/tesseract-ocr/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Tesseract Ocr?

Install Tesseract Ocr in the OpenClaw Easy desktop app by opening the Skills panel, searching for tesseract-ocr, and clicking Install. From a terminal you can run: openclaw skills add tesseract-ocr. Either way the skill is placed in ~/.openclaw/skills/tesseract-ocr/.

Is the Tesseract Ocr skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Tesseract Ocr do?

Extract text from images using the Tesseract OCR engine directly via command line. Supports multiple languages including Chinese, English, and more.

Related: more messaging & channels skills

If the Tesseract Ocr skill looks useful, you may also want to check out other messaging & channels skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models