WaveSpeedAI APIWavespeed AIMolmo2 Image Captioner

Molmo2 Image Captioner

Molmo2 Image Captioner

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Molmo2-4B Image Captioner: Generate detailed, accurate captions for images with customizable detail levels (low, medium, high). Open-source vision-language model with object grounding capabilities. Ready-to-use REST API, no cold starts, affordable pricing.

Features

Molmo2 Image Captioner

Molmo2 Image Captioner is an intelligent image understanding model that generates detailed captions and descriptions for any image. Upload an image and receive natural-language descriptions of scenes, objects, people, and context — with adjustable detail levels to match your workflow needs.

Perfect for content creators, accessibility teams, and developers building image understanding pipelines.


Why Choose This?

  • Adjustable detail levels Choose from low, medium, or high detail to control caption depth — from quick summaries to comprehensive scene breakdowns.

  • Rich visual understanding Understands context, objects, people, text, environments, and spatial relationships to produce coherent, meaningful descriptions.

  • Flexible image input Accepts image uploads or public URLs for seamless integration into existing workflows.

  • Fast and affordable Optimized for quick turnaround at just $0.002 per image.

  • Production-ready API Ready-to-use REST endpoint with simple flat-rate pricing and no cold starts.


Parameters

ParameterRequiredDescription
imageYesInput image (upload or public URL)
detail_levelNoCaption detail: low, medium (default), or high

Detail Level Options

  • Low — Brief, high-level summary of the image content
  • Medium — Balanced description with key elements and context (default)
  • High — Comprehensive breakdown with fine-grained details

How to Use

  1. Upload your image — drag and drop a file or paste a public image URL.
  2. Select detail level — choose low, medium, or high based on your needs.
  3. Submit — the model processes the image and returns a caption.
  4. Use the output — integrate captions into your content, accessibility tools, or data pipelines.

Pricing

ItemCost
Per image$0.002

Simple flat-rate pricing — no hidden fees or complex calculations.


Best Use Cases

  • Accessibility — Generate image descriptions for visually impaired users and screen readers.
  • Content indexing — Create searchable metadata for image libraries and archives.
  • Social media — Auto-generate alt text and captions for posts.
  • Image SEO — Improve discoverability with rich text descriptions for visual content.
  • E-commerce — Automatically describe product images for catalogs.
  • Education — Describe visual materials for enhanced learning resources.

Notes

  • If using a URL, ensure it is publicly accessible. A preview thumbnail in the interface confirms successful access.
  • Clear, well-lit images yield the most accurate captions.
  • Use high detail level for complex scenes; low detail for quick overviews.
  • Supports common image formats including JPEG, PNG, and WebP.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/image-captioner" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "detail_level": "medium",
    "enable_sync_mode": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-Input image URL for captioning. Supports common image formats (JPEG, PNG, WebP).
detail_levelstringNomediumlow, medium, highLevel of detail in the generated caption. Low: brief summary. Medium: balanced description. High: comprehensive, detailed analysis.
enable_sync_modebooleanNofalse-If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.

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.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
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, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (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
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