# Kling O3 Edit Video [Pro] API

> প্রো-টিয়ার O3 ভিডিও এডিটর, যা প্রম্পট এবং ইমেজ ও এলিমেন্ট রেফারেন্স ব্যবহার করে ইনপুট ক্লিপ পুনর্লিখন করে

সোর্সকে @Video1 হিসেবে উল্লেখ করা একটি টেক্সট প্রম্পট অনুযায়ী বিদ্যমান ভিডিও সম্পাদনা করে। `video_url` অবশ্যই .mp4 অথবা .mov হতে হবে, দৈর্ঘ্য 3-15 সেকেন্ড, রেজোলিউশন 720-3840px এবং আকার সর্বাধিক 200MB হতে হবে। রেফারেন্স ইমেজ (`image_urls`) এবং `elements` প্রম্পটে উল্লেখ করা যায়, মোট সর্বাধিক 4টি। `keep_audio` মূল সাউন্ডট্র্যাক সংরক্ষণ করে এবং ডিফল্টভাবে চালু থাকে।

- Model id: `kling-video/o3/pro/video-to-video/edit`
- Made by: Kling
- Category: Video to Video
- Output: video
- Price per second of your input video: $0.168 / second of input video (cheapest run $0.168 (168 API credits))
- Run: `POST https://api.doitong.ru/v1/run/kling-video/o3/pro/video-to-video/edit`
- Quote: `POST https://api.doitong.ru/v1/quote/kling-video/o3/pro/video-to-video/edit`
- Docs page: https://doitong.com/bn/developers/models/kling-video/o3/pro/video-to-video/edit

## Pricing

Price: **$0.168 / second of input video**. Price per second of your input video: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $1.68 = 1680 API credits (10 s input video × $0.168).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/kling-video/o3/pro/video-to-video/edit` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `enable_safety_checker` |  | boolean | no | `true` |  | অ্যাকাউন্ট অনুমোদন থাকলেই কেবল সেফটি চেক নিষ্ক্রিয় করা যায়; অনুমোদনহীন রিকোয়েস্টে সবসময় চেক করা হয়। |
| `prompt` |  | string | yes |  | ≤ 2500 characters | ভিডিও জেনারেট করার টেক্সট নির্দেশনা। reference ভিডিও উল্লেখ করতে @Video1 ব্যবহার করুন। |
| `video_url` | `video` | string (video URL) | yes |  |  | .mp4 বা .mov ফরম্যাটের reference ভিডিও নির্দেশকারী URL, সর্বোচ্চ 200MB। উভয় ডাইমেনশন 720px থেকে 3840px-এর মধ্যে, ফ্রেম rate 23.0–60.0 FPS এবং দৈর্ঘ্য 3–15 সেকেন্ড (সর্বোচ্চ 15.05 সেকেন্ড) হতে হবে। |
| `image_urls` | `images` | array of image URL \| null | no |  |  | স্টাইল বা চেহারা নির্দেশকারী ছবি, প্রম্পটে @Image1, @Image2 ইত্যাদি দিয়ে উল্লেখ করা হয়। ভিডিও ইনপুটের ক্ষেত্রে elements এবং reference ছবি মিলিয়ে 4টির বেশি হতে পারবে না। প্রতিটি ফাইল সর্বোচ্চ 50 MB, প্রস্থ ও উচ্চতা উভয়ই কমপক্ষে 300 px এবং aspect ratio 0.40 থেকে 2.50-এর মধ্যে হতে হবে। |
| `keep_audio` |  | boolean | no | `true` |  | reference ভিডিও-র মূল অডিও রাখা হবে কি না তা নিয়ন্ত্রণ করে। |
| `elements` |  | array of object {frontal_image_url, reference_image_urls} \| null | no |  |  | অন্তর্ভুক্ত করার চরিত্র বা বস্তু, প্রম্পটে @Element1 এবং @Element2 দিয়ে উল্লেখ করা হয়। |
| `elements[].frontal_image_url` |  | string (image URL) \| null | no |  |  | উপাদানের প্রধান দৃশ্য দেখানো সামনের দিকের ছবি। ফাইলের আকার সর্বোচ্চ 50 MB; প্রস্থ ও উচ্চতা উভয়ই কমপক্ষে 300px এবং aspect ratio 0.40 থেকে 2.50-এর মধ্যে হতে হবে। |
| `elements[].reference_image_urls` |  | array of image URL \| null | no |  |  | ভিন্ন কোণ দেখানো 1–3টি অতিরিক্ত reference ছবি দিন। প্রতিটি ছবির aspect ratio 0.40 থেকে 2.50-এর মধ্যে, উভয় ডাইমেনশন কমপক্ষে 300px এবং আকার সর্বোচ্চ 50.0MB হতে হবে। |
| `shot_type` |  | string | no | `customize` |  | multi-shot ভিডিও জেনারেট করতে ব্যবহৃত মোড। |

File parameters (`video`, `images`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/kling-video/o3/pro/video-to-video/edit?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-video/o3/pro/video-to-video/edit?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/o3/pro/video-to-video/edit", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.ru/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "kling-video/o3/pro/video-to-video/edit",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "kling-video/o3/pro/video-to-video/edit",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 1680,
    "usd": "1.68",
    "charged": 1680,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | মডেল দ্বারা উৎপাদিত ভিডিও। |

## Related models

- [Kling O3 Text to Video \[Pro\]](https://doitong.com/developers/models/kling-video/o3/pro/text-to-video.md) (`kling-video/o3/pro/text-to-video`): from $0.112 / second
- [Kling O3 Text to Video \[Standard\]](https://doitong.com/developers/models/kling-video/o3/standard/text-to-video.md) (`kling-video/o3/standard/text-to-video`): from $0.084 / second
- [Kling Video · O3 · 4k · Text to Video](https://doitong.com/developers/models/kling-video/o3/4k/text-to-video.md) (`kling-video/o3/4k/text-to-video`): $0.42 / second
- [Kling O3 Image to Video · Pro](https://doitong.com/developers/models/kling-video/o3/pro/image-to-video.md) (`kling-video/o3/pro/image-to-video`): from $0.112 / second
- [Kling O3 Image to Video · Standard](https://doitong.com/developers/models/kling-video/o3/standard/image-to-video.md) (`kling-video/o3/standard/image-to-video`): from $0.084 / second
- [Kling Video · O3 · 4k · Image to Video](https://doitong.com/developers/models/kling-video/o3/4k/image-to-video.md) (`kling-video/o3/4k/image-to-video`): $0.42 / second
- [Kling O3 Reference to Video \[Pro\]](https://doitong.com/developers/models/kling-video/o3/pro/reference-to-video.md) (`kling-video/o3/pro/reference-to-video`): from $0.112 / second
- [Kling O3 Reference to Video \[Standard\]](https://doitong.com/developers/models/kling-video/o3/standard/reference-to-video.md) (`kling-video/o3/standard/reference-to-video`): from $0.084 / second

## Links

- HTML page: https://doitong.com/developers/models/kling-video/o3/pro/video-to-video/edit
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=kling-video/o3/pro/video-to-video/edit
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/kling-video/o3/pro/video-to-video/edit