Video Restorer Video Deblur and Artifact Removal API

wavespeed-ai/video-restorer

Video Restorer cleans up damaged footage: strip compression artifacts from low-bitrate video or bring out-of-focus footage back into sharp focus, keeping the subject, framing and motion exactly as they are. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Video Tools
Input

Drag & drop or click to upload

Idle

$0.04per run·~25 / $1

ExamplesView all

Related Models

README

Video Restorer

Video Restorer improves damaged footage while preserving the original content, framing, and motion. It supports two restoration modes: decompress for low-bitrate compression artifacts and deblur for soft or out-of-focus footage.

Use it to clean up blocky, smeared, or blurry videos without changing the scene itself.

Why Choose This?

  • Video restoration workflow
    Restore damaged footage while keeping the original subject, timing, framing, and motion.

  • Compression artifact removal
    Use decompress to reduce macroblocking, ringing, banding, chroma bleed, and other low-bitrate artifacts.

  • Focus recovery
    Use deblur to sharpen soft or out-of-focus footage.

  • Prompt-guided restoration
    Optionally describe the scene to help guide the restoration process.

  • Multiple output resolutions
    Choose 480p, 720p, or 1080p while preserving the original aspect ratio.

  • Seed support
    Set a seed when reproducible restoration results are needed.

Parameters

ParameterRequiredDescription
videoYesInput video URL or uploaded video. Up to 120 seconds is processed.
modeNoRestoration mode: decompress or deblur. Default: decompress.
promptNoShort description of the scene. Leave empty for generic restoration.
target_resolutionNoOutput resolution: 480p, 720p, or 1080p. Default: 720p. Aspect ratio is preserved.
seedNoRandom seed for reproducible results.

How to Use

  1. Upload a video — Provide the footage you want to restore.
  2. Choose restoration mode — Use decompress for compression artifacts or deblur for soft-focus footage.
  3. Add a prompt optional — Describe the scene when extra context may help restoration.
  4. Choose target resolution — Select 480p, 720p, or 1080p.
  5. Set seed optional — Use a fixed seed when reproducibility is needed.
  6. Submit — Generate the restored video output.

Pricing

Pricing is based on input video duration and selected target_resolution.

Billed duration is rounded up to the next whole second, with a minimum billed duration of 3 seconds and a maximum billed duration of 120 seconds.

Output ResolutionPer 5sPer second
480p$0.10$0.02
720p$0.20$0.04
1080p$0.50$0.10

Example Costs

Input DurationBilled Duration480p720p1080p
1s3s$0.06$0.12$0.30
3s3s$0.06$0.12$0.30
5s5s$0.10$0.20$0.50
10s10s$0.20$0.40$1.00
60s60s$1.20$2.40$6.00
120s120s$2.40$4.80$12.00

mode, prompt, and seed do not add separate charges.

Best Use Cases

  • Compression cleanup — Restore footage damaged by low-bitrate encoding, social media downloads, or repeated compression.
  • Soft-focus restoration — Improve videos that look blurry or out of focus.
  • Old phone footage — Clean up older or degraded mobile recordings.
  • Screen recordings — Reduce block artifacts and compression damage from captured video.
  • Social media assets — Improve clips before publishing, editing, or repurposing.
  • Restoration preprocessing — Prepare cleaner footage before additional video enhancement or editing.

Pro Tips

  • Use decompress for blocky footage, smeared colors, banding, ringing, or compression artifacts.
  • Use deblur for footage that is generally soft or out of focus.
  • deblur targets defocus blur, not motion blur.
  • Keep the same seed when you want to reproduce a restoration result.
  • Use a short prompt only when the scene context is useful.
  • This endpoint is designed for restoration, not scene editing or content replacement.
  • For resolution-focused enhancement, run a video upscaler after restoration.

Limits and Performance

  • Maximum processed video length per job: 120 seconds.
  • Input beyond 120 seconds is not processed or billed.
  • Processing time can vary by resolution and video content.
  • Higher output resolutions generally take longer to process.

Notes

  • video is required.
  • mode defaults to decompress.
  • target_resolution defaults to 720p.
  • Aspect ratio is preserved.
  • Billed duration is rounded up and clamped to 3–120 seconds.
  • Very short videos are billed as 3 seconds.
  • This endpoint improves image quality but does not guarantee recovery of details that are fully destroyed.

Related Models

  • Video Restorer — Restore damaged footage by reducing compression artifacts or improving soft-focus video.
  • Video Colorizer — Add or restore color in video footage for restoration and creative enhancement workflows.
  • Video Cleaner — Clean up video noise, artifacts, and visual imperfections for clearer output.
  • Video Relighter — Adjust or improve video lighting while preserving the original scene and motion.
Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Video Restorer API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/video-restorer 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 Video Restorer 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",
    "mode": "decompress",
    "target_resolution": "720p"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-restorer" \
  -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
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-restorer";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "mode": "decompress",
        "target_resolution": "720p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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));
}
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",
    "mode": "decompress",
    "target_resolution": "720p"
}

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/video-restorer", 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)

Video Restorer API — Frequently asked questions

What is the Video Restorer API?

Video Restorer is a WaveSpeedAI model for video processing, exposed as a REST API on WaveSpeedAI. Video Restorer cleans up damaged footage: strip compression artifacts from low-bitrate video or bring out-of-focus footage back into sharp focus, keeping the subject, framing and motion exactly as they are. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Video Restorer 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 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/video-restorer.

How much does Video Restorer cost per run or per second?

Video Restorer starts at $0.04 per run or per second. 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 Video Restorer accept?

Key inputs: `prompt`, `video`, `seed`, `mode`, `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/video-restorer.

How do I get started with the Video Restorer API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Video Restorer outputs commercially?

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.

llms.txt — wavespeed-ai/video-restorer for AI agents and LLMs