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Seedance 2.5 (Video-Edit Turbo) is the turbo tier for editing an input video from a natural-language prompt — faster, more affordable high-resolution output while preserving subject identity, composition, and motion. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.

video-to-video
Input
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Idle

$1.17per run

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ExamplesView all

Replace the dog with a sheep, leave all other elements unchanged.

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README

Seedance 2.5 Video Edit Turbo

Seedance 2.5 Video Edit Turbo edits an input video from a natural-language prompt. It is the turbo tier for faster, more affordable high-resolution video editing while preserving the subject identity, composition, and motion of the original clip.

Why Choose This?

  • Turbo video editing
    Optimized for faster and more cost-efficient high-resolution video edits.

  • Conversational video editing
    Describe the change in plain language, and the model applies the edit while keeping the original motion structure.

  • Subject and motion preservation
    Preserve faces, objects, camera movement, and scene composition from the input video.

  • Multi-reference support
    Optionally guide style, character identity, or audio direction with reference images and audio clips.

  • Native audio synchronization
    Generate synchronized audio together with the edited video output.

Parameters

ParameterRequiredDescription
promptYesDescribe the edit.
videoYesInput video URL. Videos longer than 15 seconds are trimmed to 15 seconds.
reference_imagesNoOptional reference images for style, subject identity, or visual guidance.
reference_audiosNoOptional reference audio clips for audio guidance.
aspect_ratioNoOutput aspect ratio: 16:9, 9:16, 4:3, 3:4, 1:1, or 21:9. Adapts to the input video if not specified.
resolutionNoOutput resolution: 720p or 1080p. Default: 720p.
enable_web_searchNoEnable web search for real-time context.

How to Use

  1. Upload the input video — Provide the source video to edit. Videos longer than 15 seconds are trimmed automatically.
  2. Write the edit prompt — Describe the change you want to apply to the input video.
  3. Add references optional — Use reference images for style or identity guidance, and reference audio for soundtrack direction.
  4. Choose resolution — Select 720p or 1080p.
  5. Submit — Generate the edited video with synchronized audio.

Writing Effective Prompts

Editing keeps your source video and changes only what you name. Be precise about the scope, and describe the change as from A to B.

State the change plainly

Name exactly what to add, remove, or modify — and use an editing trigger word (add, remove, replace, change to, modify) so the intent is unambiguous.

  • "Replace the man's coffee cup with a book, keep everything else unchanged."
  • "Remove the subtitles."
  • "Change the background from a city street to a snowy forest."

Use timestamps for partial edits

Confine a change to a time range so the rest of the clip is untouched.

  • "From 4-6s, change the man's action from drinking coffee to waving; leave the rest unchanged."

Reference images for edits

Attach images to specify a replacement, and bind each explicitly (see below).

  • "Replace the woman on the right with the person in @image1."

Referencing uploaded assets

When you attach images, videos, or audio, bind each one explicitly in the prompt by its upload order — @image1, @video1, @audio1 — and say what it's for. Don't rely on labels drawn inside the image itself.

  • "The knight in @image1 walks through the castle in @image2."
  • "Refer to @video1 for the camera movement only; keep its shot order."
  • "@image1 and @image2 are Character 1, voiced by @audio1."

When a reference is already accurate, just point to it — no need to re-describe it in detail.

Audio edits

You can add, remove, or modify audio too.

  • "Translate the dialogue to Spanish, keep lip movements matched, no subtitles."
  • "Remove the background music; keep only ambient and action sounds."

Negative control

Positive descriptions work best, but you can suppress subtitles and audio:

  • "No subtitles."
  • "No BGM — ambient and action sounds only."
  • "No audio."

Weak vs. strong

prompt
weakchange the video
strongReplace the red car in the video with a black motorcycle, matching its motion and speed. Keep the road, lighting, and camera movement unchanged. From 2s onward, add faint dust kicked up behind the rear wheel. Keep the original engine audio.

Pricing

Pricing is the Seedance 2.5 edit base rate billed on input duration + output duration seconds, plus a resolution surcharge billed on output seconds only:

ComponentPer second
Base (input + output seconds)$0.11
720p surcharge (output seconds)$0.02
1080p surcharge (output seconds)$0.04

Example Costs: 5s Input + 5s Output

ResolutionCost
720p$1.20
1080p$1.30

Example Costs: 12s Input + 12s Output

ResolutionCost
720p$2.88
1080p$3.12

Best Use Cases

  • Prompt-based video editing — Edit existing videos using natural-language instructions.
  • Video restyling — Change lighting, mood, environment, style, or atmosphere while preserving the original motion.
  • Character and subject preservation — Keep faces, products, objects, or main subjects consistent through the edit.
  • Reference-guided editing — Use reference images or audio to guide style, identity, or sound direction.
  • Short-form content editing — Create polished video edits for social media, ads, concepts, and creative production.

Pro Tips

  • Use clear source videos with visible subjects and stable motion.
  • Keep the prompt focused on the specific edit you want.
  • Mention what should stay unchanged when preservation matters.
  • Add reference images when character identity, style, or product consistency matters.
  • Add reference audio when soundtrack or voice style matters.
  • Use 720p for lower-cost testing and 1080p for higher-resolution output.

Notes

  • Inputs longer than 15 seconds are trimmed to 15 seconds.
  • Inputs shorter than 2 seconds are padded with the last frame to 2 seconds before editing.
  • Auto-detected output duration matches the input length after rounding and duration handling.
  • Native audio generation is included.
  • Use @image1, @image2, @audio1, and similar asset tags to reference uploaded assets in the prompt. These references stay as plain text.

Related Models

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.

Seedance 2.5 Video Edit Turbo API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/video-edit-turbo 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 Seedance 2.5 Video Edit Turbo below.

HTTP example
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",
    "resolution": "720p",
    "generate_audio": true
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-2.5/video-edit-turbo" \
  -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/bytedance/seedance-2.5/video-edit-turbo";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "resolution": "720p",
        "generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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));
}
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 = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "resolution": "720p",
    "generate_audio": 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/bytedance/seedance-2.5/video-edit-turbo", 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)

Seedance 2.5 Video Edit Turbo API — Frequently asked questions

What is the Seedance 2.5 Video Edit Turbo API?

Seedance 2.5 Video Edit Turbo is a ByteDance model for video editing, exposed as a REST API on WaveSpeedAI. Seedance 2.5 (Video-Edit Turbo) is the turbo tier for editing an input video from a natural-language prompt — faster, more affordable high-resolution output while preserving subject identity, composition, and motion. Ready-to-use REST API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Seedance 2.5 Video Edit Turbo 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/bytedance/bytedance-seedance-2.5-video-edit-turbo.

How much does Seedance 2.5 Video Edit Turbo cost per run?

Seedance 2.5 Video Edit Turbo starts at $1.17 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 Seedance 2.5 Video Edit Turbo accept?

Key inputs: `prompt`, `video`, `resolution`, `reference_images`, `generate_audio`, `reference_audios`. 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/bytedance/bytedance-seedance-2.5-video-edit-turbo.

How long does Seedance 2.5 Video Edit Turbo take to generate?

Reported generation time on WaveSpeedAI is around 364 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.

Can I use Seedance 2.5 Video Edit Turbo outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (ByteDance). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

Seedance 2.5 Video Edit Turbo API on WaveSpeedAI