# Editto API

> Kare, fps ve çözünürlük kontrolleriyle bir kaynak videoyu prompttan yeniden yazan talimat tabanlı video düzenleme

`video_url` ile verilen mevcut videoyu metin `prompt` doğrultusunda düzenler. Çıktı, girişin kare sayısını ve kare hızını izleyebilir veya `num_frames` (17-241) ve `frames_per_second` (5-30) kullanabilir. Çözünürlük 240p-720p arasındadır, en-boy oranı auto, 16:9, 1:1 veya 9:16 olabilir ve karelerin ZIP arşivi de döndürülebilir.

- Model id: `editto`
- Made by: Open model
- Category: Video to Video
- Output: video
- Price per second of your output video: from $0.04 / second of output video (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.com/v1/run/editto`
- Quote: `POST https://api.doitong.com/v1/quote/editto`
- Docs page: https://doitong.com/tr/developers/models/editto

## Pricing

Price: **from $0.04 / second of output video** (the lowest tier; the quote prices your exact input). Price per second of your output 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.

Price by tier:

- 240p: $0.04 / second of output video
- 360p: $0.04 / second of output video
- 480p: $0.04 / second of output video
- 580p: $0.06 / second of output video
- auto: $0.08 / second of output video
- 720p: $0.08 / second of output video

The full example input below costs $0.405 = 405 API credits (5.0625 s output video × $0.08 (auto)).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/editto` 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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | Video üretimine yön veren metin yönergeleri. |
| `negative_prompt` |  | string | no | `letterboxing, borders, black bars, bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards` |  | Video üretilirken uygulanan negatif istem. |
| `match_input_num_frames` |  | boolean | no | `false` |  | Üretilen videonun kare sayısının kaynağı: false, `num_frames` kullanır; true, girdi videosunun kare sayısını kopyalar. |
| `num_frames` |  | integer | no | `81` | 17 – 241 | 81–241 kapsayıcı aralığındaki çıktı kare sayısı. |
| `match_input_frames_per_second` |  | boolean | no | `false` |  | Üretilen videonun kare hızı kaynağı: false, `frames_per_second` kullanır; true, girdi videosunun kare hızını kopyalar. |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 30 | Yalnızca `match_input_frames_per_second` true olmadığında uygulanan üretilmiş video kare hızı; kabul edilen değerler saniyede 5–30 karedir. |
| `seed` |  | integer \| null | no |  |  | Üretimi tekrarlanabilir kılan seed. None olarak ayarlanması seed'in rastgele seçilmesini sağlar. |
| `resolution` |  | enum (string) | no | `auto` | `auto`, `240p`, `360p`, `480p`, `580p`, `720p` | Çıktı videosunun çözünürlüğü. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `1:1`, `9:16` | Ortaya çıkan videonun en-boy oranı. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Sayı arttıkça daha uzun işlem süresi karşılığında daha iyi kalite sunan örnekleme adımı sayısı. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Sınıflandırıcısız yönlendirme aracılığıyla kontrol edilen istem hizalama gücü; ölçeğin artırılması, üretilen görsellerin metni daha yakından izlemesini sağlar. |
| `sampler` |  | enum (string) | no | `unipc` | `unipc`, `dpm++`, `euler` | Video üretilirken kullanılan sampler. |
| `shift` |  | number | no | `5` | 1 – 15 | Video üretilirken uygulanan kaydırma ayarı. |
| `video_url` | `video` | string (video URL) | yes |  |  | Kaynak video dosyası URL'si; inpainting yapılırken gereklidir. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Kapalı ayarı hesap yetkilendirmesi gerektiren güvenlik denetimi anahtarı. Bu yetkilendirme olmadan ayardan bağımsız olarak her istek denetlenir; true denetleyiciyi etkinleştirir. |
| `acceleration` |  | enum (string) \| null | no | `regular` | `none`, `low`, `regular` | 'none' veya 'regular' seçenekli çıkarım hızlandırma ayarı: hızlandırılmış işleme, çıktıda çok küçük bir değişiklik karşılığında önemli bir hız artışı sağlar. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Sonuç videosunun kalite düzeyi. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Sonuç videosunun yazma modu. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 5 | Enterpolasyon sayısı: 0, orijinal kareleri enterpolasyonsuz bırakır; diğer değerler aralarına kaç ara kare üretileceğini belirtir. |
| `temporal_downsample_factor` |  | integer | no | `0` | 0 – 5 | Tamsayı olarak ifade edilen video kare atlama katsayısı; her alt örnekleme katsayısı için bir kez otomatik üst örnekleme uygulanır. Zamansal alt örneklemeyi devre dışı bırakmak için 0 kullanın. |
| `enable_auto_downsample` |  | boolean | no | `false` |  | Otomatik kare sayısı uyarlaması: etkinleştirildiğinde modelin uygun uzunlukta zamansal olarak alt örneklenmiş bir videoyu işlemesini sağlar; sonrasındaki enterpolasyon özgün kare sayısını geri yükler. |
| `return_frames_zip` |  | boolean | no | `false` |  | Üretilen her kareyi içeren bir ZIP arşivinin de döndürülüp döndürülmeyeceğini kontrol eder; true olduğunda etkindir. |

File parameters (`video`) 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.com/v1/run/editto?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.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/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/editto?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.com/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/editto", 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.com/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": "editto",
      "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": "editto",
  "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": 405,
    "usd": "0.405",
    "charged": 405,
    "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,
      "width": 1024,
      "height": 768,
      "fps": 1.0,
      "duration": 5,
      "num_frames": 1
    },
    "prompt": "Make it a Pixel Art video.",
    "seed": 42,
    "frames_zip": {
      "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames} | Görselden üretilen video dosyası. |
| `prompt` | string | Çıktıyı üretmek için kullanılan istem. |
| `seed` | integer | Üretim sırasında uygulanan seed değeri. |
| `frames_zip` | object {url, content_type, file_name, file_size} \| null | İstendiğinde döndürülen, tüm video karelerini içeren ZIP arşivi. |

## Related models

- [AMT Interpolation](https://doitong.com/developers/models/amt-interpolation.md) (`amt-interpolation`): $0.000575 / second of processing time
- [AnimateDiff Turbo · Video to Video](https://doitong.com/developers/models/fast-animatediff/turbo/video-to-video.md) (`fast-animatediff/turbo/video-to-video`): $0.00125 / second of processing time
- [AnimateDiff · Video to Video](https://doitong.com/developers/models/fast-animatediff/video-to-video.md) (`fast-animatediff/video-to-video`): $0.00125 / second of processing time
- [Bernini-R Edit Video](https://doitong.com/developers/models/bernini-r/edit-video.md) (`bernini-r/edit-video`): from $0.04 / second of output video
- [Bernini-R Reference Edit Video](https://doitong.com/developers/models/bernini-r/reference-edit-video.md) (`bernini-r/reference-edit-video`): from $0.04 / second of output video
- [DWPose Pose Prediction · Video](https://doitong.com/developers/models/dwpose/video.md) (`dwpose/video`): $0.0006 / second of processing time
- [ID-V2V](https://doitong.com/developers/models/id-v2v.md) (`id-v2v`): $0.20 / second of output video
- [ID-V2V Relight](https://doitong.com/developers/models/id-v2v/relight.md) (`id-v2v/relight`): $0.20 / second of output video

## Links

- HTML page: https://doitong.com/developers/models/editto
- 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=editto
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/editto