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Ultimate Video Upscaler converts low-resolution videos into crisp 4K footage with seamless motion dynamics and frame consistency. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

upscaler
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$0.15por execução·~66 / $10

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README

Ultimate Video Upscaler

Upscale videos to 720p, 1080p, 2K, or 4K with a simple upload. This is the most advanced video upscaler in the world, delivering the highest output quality and exceptional frame-to-frame consistency. It's perfect for upscaling Seedance 2.0 videos — sharpening AI-generated footage into crisp 4K while preserving its motion dynamics. Also check out Video Upscaler Pro, Standard Video Upscaler, and FlashVSR for other options.

Why It Looks Great

  • Temporal consistency Minimizes flicker and ghosting across frames for stable motion.

  • Detail reconstruction Restores fine textures (hair, fabric, foliage) and sharp edges without over-sharpening.

  • Artifact cleanup Reduces compression blocks, ringing, and shimmering in challenging shots.

  • Motion-aware upscaling Preserves fast action and camera pans with fewer motion artifacts.

  • Natural look Balances perceptual quality with crispness to avoid plastic or overprocessed outputs.

Parameters

ParameterRequiredDescription
videoYesInput video to upscale (URL or upload)
target_resolutionNoOutput resolution: 720p, 1080p, 2k, 4k (default: 1080p)

Limits and Performance

  • Max clip length per job: up to 10 minutes
  • Processing speed: approximately 10–30 seconds of wall time to process 1 second of video (varies by resolution and queue load)

How to Use

  1. Choose target resolution — select 720p, 1080p, 2K, or 4K based on your needs.
  2. Upload your video — drag-and-drop or paste a public URL (≤ 10 minutes).
  3. Submit — run the job and wait for processing.
  4. Download — preview and save the upscaled result.

Pricing

Per-second billing with a 5-second minimum. The table below lists prices per 5 seconds for easy comparison.

Output ResolutionCost per 5 seconds
720p$0.10
1080p$0.15
2K$0.25
4K$0.40

Billing Rules

  • Minimum charge: 5 seconds
  • Per-second rate = (price per 5 seconds) ÷ 5
  • Billed duration = video length in seconds (rounded up), with a 5-second minimum
  • Total cost = billed duration × per-second rate (by output resolution)

Pro Tips

  • Upload the highest-quality source you have; avoid heavily compressed inputs when possible.
  • Keep original frame rate; avoid unnecessary re-encoding before upload.
  • Pick the lowest resolution that meets your delivery needs (1080p = speed/cost, 2K/4K = maximum detail).
  • Generating with Seedance 2.0? Run its output through this upscaler to take AI-generated clips up to crisp 4K.
  • For long videos, process in segments to parallelize and then merge.

Notes

  • Video is the only required field.
  • Maximum video length per job: 10 minutes.
  • Ensure video URLs are publicly accessible.
Nota:Este site utiliza modelos de IA fornecidos por terceiros. Os preços da documentação são apenas para referência e podem estar desatualizados. O botão Generate mostra uma estimativa; prevalece a cobrança final da tarefa.

Ultimate Video Upscaler API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ultimate-video-upscaler 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 Ultimate Video Upscaler below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "target_resolution": "1080p"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ultimate-video-upscaler" \
  -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=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 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' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/ultimate-video-upscaler";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "target_resolution": "1080p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
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 = {
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "target_resolution": "1080p"
}

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/ultimate-video-upscaler", 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 = task.get("urls", {}).get("get") or 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"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Ultimate Video Upscaler API — Frequently asked questions

What is the Ultimate Video Upscaler API?

Ultimate Video Upscaler is a WaveSpeedAI model for upscaling, exposed as a REST API on WaveSpeedAI. Ultimate Video Upscaler converts low-resolution videos into crisp 4K footage with seamless motion dynamics and frame consistency. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Ultimate Video Upscaler API?

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 production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ultimate-video-upscaler.

How much does Ultimate Video Upscaler cost per run?

Ultimate Video Upscaler starts at $0.15 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.

What inputs does Ultimate Video Upscaler accept?

Key inputs: `video`, `target_resolution`. 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/ultimate-video-upscaler.

How long does Ultimate Video Upscaler take to generate?

Median end-to-end generation time on WaveSpeedAI is around 48 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Ultimate Video Upscaler outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Ultimate Video Upscaler | AI Video Upscaler API on WaveSpeedAI