Character AI Ovi Image To Video API Documentation

Character AI Ovi Image To Video API Documentation

Playground

Try it on WaveSpeedAI!

Ovi is a Veo-3-like image-to-video model that generates synchronized video and audio from text or text+image prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Ovi is a veo-3 like, image-to-audio-video (I2AV) generation model that creates synchronized video and audio from a single image plus a descriptive text prompt.

It is designed for short-form storytelling, where a still image is brought to life with cinematic motion, dialogue, and sound.


🌟 Key Features

  • 🎬 Image β†’ Video+Audio – Bring a static image to life with synchronized audiovisual output.
  • πŸ“ Prompt-driven – Use text prompts to control scene dynamics, style, and audio.
  • πŸ—£οΈ Speech & Sound – Insert dialogue or sound effects using special tags.
  • ⏱️ Short-form Output – Generates 5-second clips at 24 FPS.

πŸ’² Pricing

Video LengthCost
5 seconds$0.15

Billing Rules

  • Minimum charge: 5 seconds

🎨 How to Use

  1. Upload Image
  • Provide a reference image as the base frame.
  • Make sure the URL is valid and accessible (a preview should appear).
  1. Enter Prompt
  • Describe scene motion, style, and atmosphere.

  • Use tags for sound:

  • <S>... <E> β†’ Speech (converted into spoken audio)

  • <AUDCAP>... <ENDAUDCAP> β†’ Background audio / effects

  1. Set Seed
  • -1 = random output
  • Any fixed number = reproducible results
  1. Run
  • Click Run $0.15 to generate your 5s image-to-audio-video clip.
  • Preview and download the result.

πŸ“ Prompt Example

A wide shot of a medieval knight standing in the rain, sword planted into the ground, glowing with mystical energy. 
<S>I will defend this land until my last breath.<E> 
<AUDCAP>Thunder rolls across the dark sky, distant war drums echo.<ENDAUDCAP>

πŸ™ Acknowledgements

  • Wan2.2 – Video backbone initialization
  • MMAudio – Audio encoder/decoder inspiration

⭐ Citation

If Ovi is useful, please ⭐ the repo and cite the paper:

@misc{low2025ovitwinbackbonecrossmodal,
 title={Ovi: Twin Backbone Cross-Modal Fusion for Audio-Video Generation}, 
 author={Chetwin Low and Weimin Wang and Calder Katyal},
 year={2025},
 eprint={2510.01284},
 archivePrefix={arXiv},
 primaryClass={cs.MM},
 url={https://arxiv.org/abs/2510.01284}, 
}

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'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/character-ai/ovi/image-to-video" \
  -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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagestringYes-The image for generating the output.
seedintegerNo-1-The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., β€œsuccess”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., β€œ2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., β€œsuccess”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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