Molmo2 Video Captioner

Molmo2 Video Captioner is an intelligent video understanding model that generates detailed captions and descriptions for video content. Upload a video and receive natural-language descriptions of scenes, actions, objects, and events — with adjustable detail levels to match your workflow needs.

Perfect for content creators, accessibility teams, and developers building video 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.
Scene-aware captioning Understands context, actions, objects, environments, and temporal flow to produce coherent, meaningful descriptions.
Flexible video input Accepts video uploads or public URLs for seamless integration into existing workflows.
Fast processing Optimized for quick turnaround while maintaining caption accuracy and coherence.
Production-ready API Ready-to-use REST endpoint with predictable per-second pricing and no cold starts.

Parameters

Parameter	Required	Description
video	Yes	Input video (upload or public URL)
detail_level	No	Caption detail: low, medium (default), or high

Detail Level Options

Low — Brief, high-level summary of the video content
Medium — Balanced description with key scenes and actions (default)
High — Comprehensive breakdown with fine-grained details

How to Use

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

Pricing

Per-5-second billing with a 5-second minimum.

Video Duration	Cost
Up to 5s	$0.005
10s	$0.01
30s	$0.03
60s	$0.06
120s (max)	$0.12

Billing Rules

Minimum charge: 5 seconds ($0.005)
Rate: $0.001 per second ($0.005 per 5 seconds)
Maximum video length: 120 seconds (2 minutes)

Best Use Cases

Accessibility — Generate video descriptions for visually impaired users and screen readers.
Content indexing — Create searchable metadata for video libraries and archives.
Social media — Auto-generate captions for posts, reels, and stories.
Video SEO — Improve discoverability with rich text descriptions for video content.
Surveillance and monitoring — Summarize footage for quick review and logging.
Education — Describe instructional videos for enhanced learning materials.

Notes

If using a URL, ensure it is publicly accessible. A preview thumbnail in the interface confirms successful access.
For videos longer than 2 minutes, split into segments and process separately.
Clear, well-lit footage yields the most accurate captions.
Use high detail level for complex scenes; low detail for quick overviews.

Molmo2 Video Captioner API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/video-captioner with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Molmo2 Video Captioner below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/video-captioner" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "video": "https://example.com/your-input.mp4",
    "detail_level": "medium"
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/molmo2/video-captioner", {
        "video": "https://example.com/your-input.mp4",
        "detail_level": "medium"
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/molmo2/video-captioner",
    {
    "video": "https://example.com/your-input.mp4",
    "detail_level": "medium"
}
)

print(output["outputs"][0])  # → URL of the generated output

Molmo2 Video Captioner API — Frequently asked questions

What is the Molmo2 Video Captioner API?

Molmo2 Video Captioner is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Molmo2-4B Video Captioner: Generate detailed, accurate captions for videos with customizable detail levels (low, medium, high). Open-source vision-language model with temporal understanding capabilities. Ready-to-use REST API, no cold starts, duration-based pricing. You can call it programmatically or try it from the playground above.

How do I call the Molmo2 Video Captioner 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/molmo2-video-captioner.

How much does Molmo2 Video Captioner cost per run?

Molmo2 Video Captioner starts at $0.005 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 Molmo2 Video Captioner accept?

Key inputs: `video`, `detail_level`. 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/wavespeed-ai/molmo2-video-captioner.

How long does Molmo2 Video Captioner take to generate?

Average end-to-end generation time on WaveSpeedAI is around 11 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Molmo2 Video Captioner outputs commercially?

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

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