Video Restorer API Documentation

Video Restorer API Documentation

Playground

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.

Features

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

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.

Example Costs

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.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-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 "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  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

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters