# Kling | o3 | Pro | Video to Video | Edit

Edits and transforms videos using Kling O3 Standard swap subjects, change environments, and restyle visuals while keeping the original motion structure and camera flow intact.

## API Information

- **Model Slug:** kling-o3-pro-video-to-video-edit
- **Branded URL:** https://www.eachlabs.ai/kling/kling-o3/kling-o3-pro-video-to-video-edit
- **Provider:** Kling
- **Category:** Video to Video
- **Output Type:** video
- **Status:** active
- **Version:** 0.0.1
- **Base Cost:** 0.168 per second of generated video.
- **Estimated Processing Time:** 330 seconds
- **Last Updated:** 2026-07-30
- **Interactive Demo:** https://www.eachlabs.ai/ai-models/kling-o3-pro-video-to-video-edit

## Pricing

- **Charge Type:** dynamic
- **Pricing Details:** 0.168 per second of generated video.

### Pricing Rules

| Condition | Pricing |
| --- | --- |
| Rule 1 | 0.168 per second of generated video. |

## Input Schema

| Parameter | Type | Required | Default | Constraints | Description |
|-----------|------|----------|---------|-------------|-------------|
| prompt | string | Yes | - | - | Text prompt for video generation. Reference video as @Video1. |
| video_url | string | Yes | - | - | Reference video URL. Only .mp4/.mov formats, 3-10s duration, 720-2160px resolution, max 200MB. |
| image_urls | array | No | - | 0–4 | Reference images for style/appearance. Reference in prompt as @Image1, @Image2, etc. Maximum 4 total (elements + reference images) when using video. |
| elements | array | No | - | 0–4 | Elements (characters/objects) to include. Reference in prompt as @Element1, @Element2. |
| keep_audio | boolean | No | true | - | Whether to keep the original audio from the reference video. |
| shot_type | string | No | customize | customize | The type of multi-shot video generation. |

## Example Request

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "kling-o3-pro-video-to-video-edit",
  "input": {
    "video_url": "https://storage.googleapis.com/magicpoint/inputs/kling-o3-pro-video-to-video-edit-input-video.mp4",
    "prompt": "Change environment as @Image1. Replace bi with @Element1"
  }
}'
```

## Output Schema

Response returned by `GET /v1/prediction/{id}` when the job completes:

```json
{
  "status": "success",
  "predictionID": "string",
  "output": "string (URL of generated video)",
  "metrics": {
    "predict_time": "number (seconds)"
  }
}
```

## Polling

```bash
curl https://api.eachlabs.ai/v1/prediction/{PREDICTION_ID} \
  -H "Authorization: Bearer YOUR_API_KEY"
```

| Status | Meaning |
|--------|---------|
| `processing` | Still running — poll again |
| `success` | Done — read `output` |
| `error` | Failed — read `message` / `details` |

## Webhook (alternative to polling)

Pass `"webhook_url": "https://your.host/path"` in the create request. Eachlabs POSTs this payload when the job ends:

```json
{
  "exec_id": "prediction-uuid",
  "status": "succeeded",
  "output": "https://...",
  "error": ""
}
```

`status` is `"succeeded"` or `"failed"`. `exec_id` equals the `predictionID` from create. Return 2xx within 30 seconds.

## Errors

Error body: `{ "status": "error", "message": "...", "details": "..." }`

| Code | Meaning |
|------|---------|
| `400` | Invalid input |
| `401` | Missing / invalid `Authorization` bearer token |
| `404` | Unknown model or prediction id |
| `429` | Rate limit — 100 creates / min, 10 concurrent per key |
| `5xx` | Retry with backoff |

## Overview

The **Kling | o3 | Pro | Video to Video | Edit** model from Kling enables precise, natural-language-driven edits on existing video footage, transforming subjects, settings, and styles while preserving the original motion structure. Developed by Kuaishou as part of the advanced Kling O3 family, this video-to-video tool stands out with its scene-level understanding and motion-consistent output, making it ideal for creators seeking seamless modifications without rebuilding entire clips. Unlike basic editing tools, it supports up to 4 reference images for visual guidance and optional audio retention, delivering high-quality results up to 1080p. Available via APIs on platforms like each::labs, it empowers users to upload videos and describe changes—like swapping objects or altering scenes—for professional-grade outputs. This model solves the challenge of maintaining temporal coherence in AI video edits, streamlining workflows for filmmakers and content creators.

## Usage Notes

- API Base URL: `https://api.eachlabs.ai/v1`
- Authentication: send `Authorization: Bearer YOUR_API_KEY`. Generate a key from the Eachlabs dashboard at https://www.eachlabs.ai/dashboard/api-keys.
- File-typed parameters (`*_url`, `image_url`, `video_url`, `audio_url`, etc.) accept publicly-reachable HTTPS URLs only. Upload your asset first (GCS / S3 / your CDN) and pass the resulting URL. Data-URIs and localhost URLs are rejected.
- For structured parameters (arrays / objects) send real JSON values, not stringified payloads.
- Monetary values are reported in USD; per-token / per-megapixel rates may be billed in micro-cents internally.
- Prefer `webhook_url` over polling for long-running predictions — see the Webhook Callback section.