Moondream3 Preview Caption

Moondream3 Preview Caption

Playground

Try it on WaveSpeedAI!

Generate short, normal, or long image captions to help you understand and describe visual content. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Moondream 3 Caption is a high-performance vision-language model that automatically generates clear, descriptive, and context-aware captions for any image. It supports multiple caption lengths, enabling flexible use across social media content, dataset annotation, and creative storytelling.


✨ Key Features

  • Flexible Caption Length Choose from short, normal, or long captions to fit your workflow needs.

  • Accurate Visual Understanding Trained on large-scale, diverse visual datasets — accurately detects objects, actions, and environments.

  • Fast and Efficient Optimized for low-latency inference, suitable for real-time applications and batch processing.

  • Human-like Language Output Produces smooth, natural, and grammatically correct sentences ideal for direct use in production.


⚙️ Example Usage

🔹 Short Caption

{
 "image": "https://example.com/photo.jpg",
 "length": "short"
}

🔹 Normal Caption

{
 "image": "https://example.com/photo.jpg",
 "length": "normal"
}

🔹 Long Caption

{
 "image": "https://example.com/photo.jpg",
 "length": "long"
}

🧾 Example Output

{
 "caption": "A young woman with long, dark hair stands in front of a bar. She wears a leopard print halter top and blue jeans, accessorized with large hoop earrings. The bar features a purple backlit counter and a lit sign displaying 'DAMON' in yellow letters."
}

Output Explanation

  • The model returns a JSON object with a single key: caption.
  • The value is a natural-language description automatically generated from the input image.
  • The style and length of the caption depend on your chosen length parameter (short, normal, or long).

💡 Best Practices

  • Use “short” for quick summaries or thumbnail text.
  • Use “normal” for descriptive captions (recommended default).
  • Use “long” for storytelling, research annotations, or dataset labeling.
  • Supported formats: JPEG, PNG, WebP
  • Maximum image size: 10 MB

💰 Pricing

  • $0.005 per request
  • Contact WaveSpeedAI for enterprise and large-scale pricing options.

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'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "length": "normal"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/moondream3-preview/caption" \
  -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
imagestringYes-Image to be described. Provide an HTTPS URL or upload an image file.
lengthstringNonormalnormal, short, longCaption length. Options: 'short', 'normal', or 'long'.
enable_sync_modebooleanNofalse-If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
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., “2023-04-01T12:34:56.789Z”)
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., “success”)
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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