MiniMax H3 Open Weights | Try in Video Generator →

Sora 2 Characters | AI Video Understanding API

openai/

OpenAI Sora 2 Characters creates reusable character IDs from video references for consistent character appearance across Sora 2 generations. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

video-to-text
Input

Idle

[
  {
    "id": "char_e9bd70c8fadc8191958144ce7c9d3810",
    "name": "Joe"
  }
]

$0.001per run·~1000 / $1

ExamplesView all

Related Models

README

Sora 2 Characters

Notice — Service Stability

The Sora 2 family is currently unstable. Generations may fall back to alternative models without notice and the service can be temporarily unavailable. OpenAI is also expected to discontinue this model in the future.

If you need an equally capable, stable alternative, we recommend Seedance 2: bytedance/seedance-2.0/text-to-video.

OpenAI Sora 2 Characters

Sora 2 Characters creates reusable character identities from short video clips. Upload a 2–4 second video of a character and assign a name — the model extracts identity features that can be referenced in Sora 2 Text-to-Video to maintain consistent character appearance across generated videos.

Why Choose This?

  • Character consistency Maintain the same character identity across multiple video generations.

  • Simple workflow Just upload a short video clip and provide a name — character ID is created instantly.

  • Reusable assets Once created, character IDs can be referenced in any Sora 2 Text-to-Video generation.

  • Ultra-low cost Only $0.001 per character creation.

Parameters

ParameterRequiredDescription
videoYesSource video of the character (2–4 seconds)
nameYesName identifier for the character

How to Use

  1. Upload a video — provide a 2–4 second video clip featuring the character.
  2. Enter a name — assign a memorable name for easy reference.
  3. Run — the model extracts character identity and creates the ID.
  4. Use in Sora 2 — reference the character by name in Sora 2 Text-to-Video.

Pricing

OutputCost
Per character ID$0.001

Best Use Cases

  • Consistent Storytelling — Maintain character identity across multiple video scenes.
  • Series Production — Create recurring characters for episodic content.
  • Brand Mascots — Generate consistent brand character appearances.
  • Animation Projects — Ensure character consistency throughout a project.

Pro Tips

  • Use clear, well-lit video clips with the character prominently visible.
  • 2–4 seconds is optimal — shorter clips may lack sufficient identity information.
  • Choose descriptive names for easy reference in prompts (e.g., "Joe" rather than "Character1").
  • Front-facing shots with visible facial features produce the best identity extraction.

Notes

  • Both video and name are required fields.
  • Video length: 2–4 seconds recommended.
  • Created character IDs are used in Sora 2 Text-to-Video.
  • Ensure your content complies with OpenAI's usage policies.

Related Models

Note:This website uses AI models provided by third parties.

Sora 2 Characters API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/openai/sora-2/characters 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 Sora 2 Characters 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",
    "name": "example"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/openai/sora-2/characters" \
  -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/openai/sora-2/characters";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "name": "example"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "name": "example"
}

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/openai/sora-2/characters", 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)

Sora 2 Characters API — Frequently asked questions

What is the Sora 2 Characters API?

Sora 2 Characters is a OpenAI model for AI inference, exposed as a REST API on WaveSpeedAI. OpenAI Sora 2 Characters creates reusable character IDs from video references for consistent character appearance across Sora 2 generations. 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 Sora 2 Characters 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/openai/openai-sora-2-characters.

How much does Sora 2 Characters cost per run?

Sora 2 Characters starts at $0.001 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 Sora 2 Characters accept?

Key inputs: `video`, `name`. 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/openai/openai-sora-2-characters.

How do I get started with the Sora 2 Characters 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 Sora 2 Characters outputs commercially?

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