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Segment Anything Model 2 · Video

Integrate

Model id sam2/video
# 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/sam2/video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "video": "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"

Up to $4.00 per run charged by actual usage, the rest is refunded Run it on this page

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Meta Video to Video #segmentation#mask#real-time

Segments and tracks objects across a video from point or box prompts, with an optional starting mask

Meta · Video

Your first result goes here

Build a request below and run it with your API key. Outputs are copied to our storage, kept forever or 7 days for free.

Build a request

Controls are generated from the model schema. The code and the price update as you change them.

•required video_url
Drop a file, or

Video URL for segmentation.

Advanced mask · apply_mask · boundingbox_zip · prompts · box_prompts
mask_url
Drop a file, or

Mask URL for the initial application.

default []

Prompts used for video segmentation.

default []

Box boundary coordinates.

POST /run/sam2/video?wait=20 quote → $4.00
# 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/sam2/video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "video": "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"

Run this request

Your key stays in this browser: it is sent only to the Doitong API and saved (localStorage) only if you tick Remember. Get an API key

About Segment Anything Model 2 · Video

Segments a video with SAM 2. Guide it with `prompts` or `box_prompts`, or supply an initial mask through `mask_url`. `apply_mask` overlays the mask on the output video. Enable `boundingbox_zip` to also receive per-frame bounding box overlays as a zip archive.

Parameters

Send either the canonical name or the native name, not both. Canonical names

NameType DefaultAllowed Description
video_urlrequired video
Typeurl · video
Video URL for segmentation.
mask_urloptional mask
Typeurl · image
Mask URL for the initial application.
promptsoptional
Typeobject[]
Default[]
Prompts used for video segmentation.
prompts[].xoptional
Typeinteger
Default305
Prompt position along the X axis.
prompts[].yoptional
Typeinteger
Default350
Prompt position along the Y axis.
prompts[].labeloptional
Typeenum
Default1
01
Prompt label: 1 indicates foreground, while 0 indicates background.
prompts[].frame_indexoptional
Typeinteger
Default0
Index identifying the frame for interaction.
box_promptsoptional
Typeobject[]
Default[]
Box boundary coordinates.
box_prompts[].x_minoptional
Typeinteger
Default0
Minimum x-coordinate for the box.
box_prompts[].y_minoptional
Typeinteger
Default0
Minimum y-coordinate for the box.
box_prompts[].x_maxoptional
Typeinteger
Default0
Maximum x-coordinate for the prompt.
box_prompts[].y_maxoptional
Typeinteger
Default0
Maximum y-coordinate for the prompt.
box_prompts[].frame_indexoptional
Typeinteger
Default0
Index identifying the frame for interaction.
apply_maskoptional
Typeboolean
Defaultfalse
Whether to apply masking to the video.
boundingbox_zipoptional
Typeboolean
Defaultfalse
Whether to return a ZIP archive containing bounding box overlays for each frame.
required Canonical name, also accepted

File parameters take a public https:// URL, a data: URI up to 10 MB, or the file_url of an upload. Files

Output

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "sam2/video",
  "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": 4000,
    "usd": "4.00",
    "charged": 4000,
    "refunded": 0
  },
  "input": {
    "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
    },
    "boundingbox_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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
Your files, your choiceEvery outputs[].url is a copy on our storage: kept forever (paid per GB-month) or 7 days for free, by your account setting or ?storage=.
Same shape on every modeltype, url, content_type, width, height and duration, for images, video and audio alike. output is the model’s own result object.
Fields of output
video
object {url, content_type, file_name, file_size}Video produced by segmentation.
boundingbox_frames_zip
object {url, content_type, file_name, file_size} | nullZIP archive of bounding box overlays for each frame.

More models: Video to Video

For AI agents: this page as Markdown is at https://doitong.com/en-US/developers/models/sam2/video.md. All models and guides: https://doitong.com/developers/llms.txt