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Overview

This guide walks you through the complete workflow: upload a video, create a clipping project, and retrieve your AI-generated clips.

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Prerequisites

  • A Reap account with API access (get started)
  • Your API key from the dashboard
  • A video file (MP4 or MOV, 2 min - 3 hours)

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Basic Workflow

The typical automation workflow follows these steps:
1

Get Upload URL

Request a secure upload URL for your video file
2

Upload Video

Upload your video file to the provided URL
3

Create Project

Create a video processing project (clips, captions, reframe, or dubbing)
4

Monitor Progress

Check the project status until processing is complete
5

Retrieve Results

Get your processed clips and their URLs

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Step-by-Step Example

Let’s create a clipping project that generates short clips from a long video.

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1. Get Upload URL

First, request a secure upload URL for your video: 
curl -X POST "https://public.reap.video/api/v1/automation/get-upload-url" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "filename": "my-video.mp4"
  }'
Response: 
{
  "uploadUrl": "https://upload.reap.video/...",
  "id": "65f1a2b3c4d5e6f7a8b9c0d1",
  "fileName": "my-video.mp4",
  "fileType": "video",
  "status": "upload"
}

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2. Upload Your Video

Upload your video file to the provided uploadUrl using a PUT request: 
curl -X PUT "UPLOAD_URL_FROM_STEP_1" \
  -H "Content-Type: video/mp4" \
  --data-binary @/path/to/your/video.mp4

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3. Create a Clipping Project

Now create a clipping project using the upload ID: 
curl -X POST "https://public.reap.video/api/v1/automation/create-clips" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "uploadId": "65f1a2b3c4d5e6f7a8b9c0d1",
    "genre": "talking",
    "exportResolution": 1080,
    "exportOrientation": "portrait",
    "reframeClips": true,
    "captionsPreset": "system_beasty",
    "enableEmojis": true,
    "enableHighlights": true,
    "language": "en"
  }'
Response: 
{
  "id": "65f1a2b3c4d5e6f7a8b9c0d2",
  "title": "my-video.mp4",
  "status": "processing",
  "projectType": "clipping",
  "billedDuration": 300.5,
  "createdAt": 1710345600
}

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4. Monitor Project Status

Check the project status periodically: 
curl -X GET "https://public.reap.video/api/v1/automation/get-project-status?projectId=65f1a2b3c4d5e6f7a8b9c0d2" \
  -H "Authorization: Bearer YOUR_API_KEY"
Response: 
{
  "projectId": "65f1a2b3c4d5e6f7a8b9c0d2",
  "projectType": "clipping",
  "source": "user_upload",
  "status": "completed"
}

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5. Get Your Clips

Once processing is complete, retrieve the generated clips: 
curl -X GET "https://public.reap.video/api/v1/automation/get-project-clips?projectId=65f1a2b3c4d5e6f7a8b9c0d2" \
  -H "Authorization: Bearer YOUR_API_KEY"
Response: 
{
  "clips": [
    {
      "id": "65f1a2b3c4d5e6f7a8b9c0d3",
      "projectId": "65f1a2b3c4d5e6f7a8b9c0d2",
      "clipUrl": "https://cdn.reap.video/clips/...",
      "title": "Engaging Moment 1",
      "duration": 30.5,
      "viralityScore": 8.7
    }
  ],
  "totalClips": 5
}
You did it! Your clips are ready to download from the clipUrl links. Each clip includes captions, reframing, and a virality score.

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What’s Next

Add Captions

Add AI-generated captions with customizable styling

Explore Reframing

Learn how to automatically reframe videos for different aspect ratios

Add Voice Dubbing

Discover AI-powered voice dubbing in multiple languages

Manage Presets

Use custom caption styles for consistent branding

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Integration Patterns

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Batch Processing

Process multiple videos in parallel: 
const files = ['video1.mp4', 'video2.mp4', 'video3.mp4'];

for (const file of files) {
  // Get upload URL
  const uploadResponse = await fetch('/automation/get-upload-url', {
    method: 'POST',
    headers: { 'Authorization': 'Bearer YOUR_API_KEY' },
    body: JSON.stringify({ filename: file })
  });
  
  // Upload and create project...
}

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Webhook Integration

Set up webhooks to get notified when projects complete instead of polling the status endpoint.

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Error Handling

Always implement proper error handling for API requests: 
try {
  const response = await fetch('/automation/create-clips', {
    method: 'POST',
    headers: { 'Authorization': 'Bearer YOUR_API_KEY' },
    body: JSON.stringify(projectData)
  });
  
  if (!response.ok) {
    throw new Error(`API error: ${response.status}`);
  }
  
  const project = await response.json();
  console.log('Project created:', project.id);
} catch (error) {
  console.error('Failed to create project:', error.message);
}

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