Molmo2 Image Captioner
Playground
Try it on WavespeedAI!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?
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Adjustable detail levels Choose from low, medium, or high detail to control caption depth — from quick summaries to comprehensive scene breakdowns.
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Rich visual understanding Understands context, objects, people, text, environments, and spatial relationships to produce coherent, meaningful descriptions.
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Flexible image input Accepts image uploads or public URLs for seamless integration into existing workflows.
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Fast and affordable Optimized for quick turnaround at just $0.002 per image.
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Production-ready API Ready-to-use REST endpoint with simple flat-rate pricing and no cold starts.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Input image (upload or public URL) |
| detail_level | No | Caption 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
- Upload your image — drag and drop a file or paste a public image URL.
- Select detail level — choose low, medium, or high based on your needs.
- Submit — the model processes the image and returns a caption.
- Use the output — integrate captions into your content, accessibility tools, or data pipelines.
Pricing
| Item | Cost |
|---|---|
| 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
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | Input image URL for captioning. Supports common image formats (JPEG, PNG, WebP). | |
| detail_level | string | No | medium | low, medium, high | Level of detail in the generated caption. Low: brief summary. Medium: balanced description. High: comprehensive, detailed analysis. |
| enable_sync_mode | boolean | No | false | - | 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
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |