SAM3 Video is a unified foundation model for prompt-based video segmentation. Provide text, point, box, or mask prompts and the model segments and tracks targets across frames with strong temporal consistency. Supports concept-level (“segment anything with concepts”) and multi-object masks for editing, analytics, and VFX. Ready-to-use REST inference API with fast response, no cold starts, and affordable pricing.
Idle
$0.05per run·~20 / $1
The woman
The girl
The perfume
The woman
WaveSpeedAI SAM3 Video Video-to-Video is a prompt-based video segmentation and mask-guided editing model. Provide a video and a short text prompt to target specific subjects across frames, then choose whether to apply the mask to the video output or return a mask-style result for downstream workflows.
Prompt-based target selection
Use natural language to identify the subject or object to segment, such as person, woman, red car, or backpack.
Multi-object targeting
Target multiple objects in one request by listing them in the prompt.
Mask-guided video output
Use apply_mask to control whether the detected mask is applied to the video or returned as a mask-style output.
Temporal video consistency
Track selected subjects across frames for more stable video segmentation workflows.
Editing and compositing workflows
Prepare masks or localized video outputs for object removal, background cleanup, subject isolation, and downstream compositing.
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Input video file or public video URL. |
| prompt | Yes | Text prompt describing the subject or object to target. Use short, concrete labels such as person, car, or dog. |
| apply_mask | No | Whether to apply the mask to the video output. Default: true. When disabled, the output is a mask-style video: the background is black and the selected region is white. |
the woman, red car, or person, backpack.apply_mask enabled to apply the mask to the video output. Disable it when you need a black-and-white mask-style output.Pricing is based on input video duration.
Billed duration is rounded up to the next whole second, with a minimum billed duration of 3 seconds and a maximum billed duration of 600 seconds. Pricing is charged in 5-second units at $0.05 per 5 seconds.
| Billed Duration | Cost |
|---|---|
| 3s | $0.03 |
| 5s | $0.05 |
| 10s | $0.10 |
| 60s | $0.60 |
| 600s | $6.00 |
prompt and apply_mask do not add separate charges.
person, backpack, bicycle.apply_mask=true when you want the mask applied to the video output.apply_mask=false when you need a black-background mask output with the selected region shown in white.video and prompt are required.apply_mask defaults to true.apply_mask is disabled, the output is a mask-style video with a black background and the selected region in white.3–600 seconds.3 seconds.600 seconds are billed at the 600-second cap.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/sam3-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Sam3 Video below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"apply_mask": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/sam3-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
-H "Authorization: Bearer $WAVESPEED_API_KEY")
RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$STATUS" in
completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/sam3-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"apply_mask": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"apply_mask": True
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/sam3-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout", "deleted"}:
raise RuntimeError(result)
time.sleep(2)Sam3 Video is a WaveSpeedAI model for video editing, exposed as a REST API on WaveSpeedAI. SAM3 Video is a unified foundation model for prompt-based video segmentation. Provide text, point, box, or mask prompts and the model segments and tracks targets across frames with strong temporal consistency. Supports concept-level (“segment anything with concepts”) and multi-object masks for editing, analytics, and VFX. Ready-to-use REST inference API with fast response, no cold starts, and affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/sam3-video.
Sam3 Video starts at $0.05 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `video`, `apply_mask`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/sam3-video.
Reported generation time on WaveSpeedAI is around 61 seconds per request. This is an estimate, not a latency guarantee; queue time and input settings can change the total wait. live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.