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Comprehensive SEO optimization across 80 documentation pages: Title optimization (all pages): - Replaced generic titles like "Architecture", "Discord", "Slack" with search-intent titles like "PocketPaw Architecture: Event-Driven Message Bus", "Discord Bot Setup: Add PocketPaw to Your Server" - All titles now 50-70 characters with qualifying keywords Meta descriptions: - Expanded 7 short descriptions (under 145 chars) to 150-160 chars - Roadmap description expanded from 76 to 196 chars - Troubleshooting, Codex CLI, OpenCode, WebMCP all expanded H1 heading fixes: - Ensured single H1 per page matching the frontmatter title - All H1 headings updated to match new optimized titles Internal cross-links: - Added Related CardGroup sections to 60+ individual pages - Each links to 2-3 related pages within and across sections - Channels link to channel guides, backends link to Ollama guide, etc. Em dash cleanup: - Replaced em dashes with colons, periods, or double hyphens across multiple files in tools/, channels/, integrations/ Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
76 lines
2.1 KiB
Plaintext
76 lines
2.1 KiB
Plaintext
---
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title: "OCR Tool: Extract Text from Images"
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description: "Extract text from images using PocketPaw's OCR tool. Primary engine is GPT-4o Vision for high accuracy; falls back to pytesseract for offline use. Supports screenshots, photos, and scanned documents."
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section: Tools
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ogType: article
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keywords: ["ocr", "image text extraction", "gpt-4o vision", "pytesseract", "optical character recognition"]
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tags: ["tools", "media"]
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---
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# OCR Tool: Extract Text from Images
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The OCR tool extracts text from images using a two-tier approach: GPT-4o Vision as the primary engine with pytesseract as a fallback.
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## How It Works
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1. **Primary**: Sends the image to GPT-4o Vision for intelligent text extraction
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2. **Fallback**: If GPT-4o is unavailable, falls back to pytesseract (local OCR)
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GPT-4o Vision produces superior results for complex layouts, handwriting, and non-standard text. Pytesseract works offline but is limited to printed text.
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## Setup
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```bash
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# For GPT-4o Vision (primary)
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export POCKETPAW_OPENAI_API_KEY="sk-..."
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# For pytesseract fallback (optional)
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# Install tesseract-ocr system package
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sudo apt install tesseract-ocr # Ubuntu/Debian
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brew install tesseract # macOS
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```
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## Usage
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```
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User: What does this image say? /path/to/screenshot.png
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Agent: [uses ocr tool] → "The image contains the following text..."
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```
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## Tool Schema
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```json
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{
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"name": "ocr",
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"description": "Extract text from an image file",
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"input_schema": {
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"type": "object",
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"properties": {
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"image_path": {
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"type": "string",
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"description": "Path to the image file"
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}
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},
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"required": ["image_path"]
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}
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}
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```
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## Policy Group
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Belongs to `group:media`.
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## Related
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<CardGroup>
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<Card title="Image Generation" icon="lucide:image" href="/tools/image-generation">
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Generate images with Google Gemini models.
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</Card>
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<Card title="Desktop Automation" icon="lucide:monitor" href="/tools/desktop">
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Capture screenshots and monitor system resources.
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</Card>
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<Card title="Tools Overview" icon="lucide:wrench" href="/tools">
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Browse all 50+ built-in tools available in PocketPaw.
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</Card>
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</CardGroup>
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