image-analyzer

Analyze images with AI - extract text, describe content, detect objects

9 stars

Best use case

image-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Analyze images with AI - extract text, describe content, detect objects

Teams using image-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/orthogonal-image-analyzer/SKILL.md --create-dirs "https://raw.githubusercontent.com/orthogonal-sh/skills/main/skills/orthogonal-image-analyzer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/orthogonal-image-analyzer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How image-analyzer Compares

Feature / Agentimage-analyzerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Analyze images with AI - extract text, describe content, detect objects

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Image Analyzer - AI Image Analysis

Analyze images to extract text, describe content, and detect objects using AI.

## Workflow

### Step 1: Get Image from URL
Fetch image content:

```bash
orth api run linkup /fetch --body '{"url": "https://example.com/image.jpg"}'
```

### Step 2: Extract Text (OCR)
Use AI to extract text from images:

```bash
orth api run scrapegraph /v1/smartscraper --body '{
  "website_url": "https://example.com/screenshot.png",
  "user_prompt": "Extract all visible text from this image"
}'
```

### Step 3: Extract Structured Data
Get specific data from images:

```bash
orth api run riveter /v1/run --body '{
  "input": {
    "urls": ["https://example.com/receipt.jpg"]
  },
  "output": {
    "store_name": {"prompt": "Store name", "contexts": ["urls"]},
    "date": {"prompt": "Date", "contexts": ["urls"]},
    "items": {"prompt": "Items with names and prices", "contexts": ["urls"]},
    "total": {"prompt": "Total amount", "contexts": ["urls"]}
  }
}'
```

### Step 4: Capture Website Screenshots
Get screenshots of web pages:

```bash
orth api run brand-dev /v1/brand/screenshot --query 'domain=stripe.com'
```

## Example Usage

```bash
# Extract receipt data
orth api run scrapegraph /v1/smartscraper --body '{
  "website_url": "https://example.com/receipt.jpg",
  "user_prompt": "Extract store name, date, all items with prices, and total amount"
}'

# Get website screenshot
orth api run brand-dev /v1/brand/screenshot --query 'domain=openai.com'
```

## Tips

- Use clear, high-resolution images
- Specify exact data needed for extraction
- Combine with OCR for text-heavy images
- Use screenshots for website analysis

## Discover More

List all endpoints, or add a path for parameter details:

```bash
orth api show brand-dev
orth api show linkup
orth api show riveter
orth api show scrapegraph
```

Example: `orth api show olostep /v1/scrapes` for endpoint parameters.

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