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Sam 3 · Video

Integrate

Model id sam-3/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/sam-3/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"

Files like the example: $0.095 95 API credits · ≈ ₽10.02 your files are measured before the run Run it on this page

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

Segments and tracks objects in a video from text, point or box prompts, returning a masked video

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.

default

Segmentation prompt supporting multiple tracked objects through comma-separated descriptions, such as 'person, cloth'.

•required video_url
Drop a file, or

Video URL for segmentation.

Advanced text_prompt · video_output_type · detection_threshold · apply_mask · point_prompts · box_prompts

[DEPRECATED] Legacy input retained for backward compatibility; use 'prompt' in its place.

video_output_type default X264 (.mp4)

Output type for the resulting video.

default 0.5

Detection confidence cutoff, where reducing the value increases detection count at the expense of precision; the range is 0.0–1.0.

default []

Collection of point-based prompts.

default []

Box prompts listed as coordinate tuples (x_min, y_min, x_max, y_max).

POST /run/sam-3/video?wait=20 quote → $0.095
# 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/sam-3/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

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About Sam 3 · Video

Detects and tracks objects across a video supplied as `video_url`. Name targets in `prompt`, separating several with commas, or use `point_prompts` and `box_prompts`. `detection_threshold` ranges from 0.1 to 1, and `apply_mask` controls whether the mask is drawn on the video. Output is mp4 or webm, plus a zip of per-frame bounding box overlays.

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.
promptoptional
Typestring
Default
Segmentation prompt supporting multiple tracked objects through comma-separated descriptions, such as 'person, cloth'.
text_promptoptional
Typestring | null
[DEPRECATED] Legacy input retained for backward compatibility; use 'prompt' in its place.
point_promptsoptional
Typeobject[]
Default[]
Collection of point-based prompts.
point_prompts[].xoptional
Typeinteger | null
Prompt position along the X axis.
point_prompts[].yoptional
Typeinteger | null
Prompt position along the Y axis.
point_prompts[].labeloptional
Typeenum
01
Foreground/background label: 1 indicates foreground; 0 indicates background.
point_prompts[].object_idoptional
Typeinteger | null
Optional identifier grouping prompts that refine a single object. If text is also supplied as a prompt, this identifier determines which detected object those points refine.
box_promptsoptional
Typeobject[]
Default[]
Box prompts listed as coordinate tuples (x_min, y_min, x_max, y_max).
box_prompts[].x_minoptional
Typeinteger | null
Minimum x-coordinate for the box.
box_prompts[].y_minoptional
Typeinteger | null
Minimum y-coordinate for the box.
box_prompts[].x_maxoptional
Typeinteger | null
Maximum X coordinate for the box.
box_prompts[].y_maxoptional
Typeinteger | null
Maximum Y coordinate for the box.
box_prompts[].object_idoptional
Typeinteger | null
Optional identifier grouping boxes that refine a single object.
apply_maskoptional
Typeboolean
Defaulttrue
Whether to apply masking to the video.
video_output_typeoptional
Typeenum
DefaultX264 (.mp4)
X264 (.mp4)VP9 (.webm)
Output type for the resulting video.
detection_thresholdoptional
Typenumber
Default0.5
0.1 – 1
Detection confidence cutoff, where reducing the value increases detection count at the expense of precision; the range is 0.0–1.0.
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": "sam-3/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": 95,
    "usd": "0.095",
    "charged": 95,
    "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/sam-3/video.md. All models and guides: https://doitong.com/developers/llms.txt