AI ANALYSIS

OpenAI Integration

Extract frames with ClipToFrame and analyze them using OpenAI Vision.

Use case

OpenAI Logo

Extract frames from a video, then send them to OpenAI Vision for tagging, compliance checks, or dataset labeling.

How it works

  1. Call ClipToFrame to extract one or more frames.
  2. Send the image URL to OpenAI Vision.
  3. Store tags or insights in your database.

Example (ClipToFrame → OpenAI)

// 1) Extract a frame with ClipToFrame
const frameResponse = await fetch('https://video-capture-api.onrender.com/capture', {
  method: 'POST',
  headers: {
    'x-api-key': process.env.CLIPTOFRAME_API_KEY,
    'Origin': 'https://cliptoframe.com',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    videoUrl: 'https://cliptoframe.com/samples/demo.mp4',
    time: 12,
    outputFormat: 'jpg',
    quality: 90
  })
});

const { imageUrl } = await frameResponse.json();

// 2) Send to OpenAI Vision (simplified)
const analysis = await openai.responses.create({
  model: 'gpt-4o-mini',
  input: [{
    role: 'user',
    content: [
      { type: 'input_text', text: 'Describe this frame.' },
      { type: 'input_image', image_url: imageUrl }
    ]
  }]
});

Next steps

Generate an API key for ClipToFrame, then wire the image URL into your OpenAI pipeline.

Get API KeyRead the API docs