Molmo2 Video Understanding

Molmo2 Video Understanding

Playground

Molmo2-4B Video Understanding: Analyze videos with specialized tasks (general, summary, analysis, counting, scene description). Open-source vision-language model with temporal understanding. Ready-to-use REST API, no cold starts, duration-based pricing.

Features

Molmo2 Video Understanding

Analyze and understand video content with Molmo2 Video Understanding. This intelligent video analysis model performs various tasks including summarization, scene description, object counting, and detailed analysis — perfect for video cataloging, content moderation, and automated video workflows.

Why It Works Great

• Multiple task modes: Summary, analysis, counting, scene description, and general Q&A.
• Custom instructions: Add specific focus areas or questions.
• Extended video support: Analyze videos up to 2 minutes long.
• Structured output: Get organized, task-specific results.
• Affordable: Starting at just $0.005 per video.
• Versatile analysis: From quick summaries to detailed breakdowns.

Parameters

How to Use

1. Upload your video — drag and drop or paste a public URL.
2. Select task — choose the type of analysis you need.
3. Add instructions (optional) — specify focus areas or custom questions.
4. Run — click the button to analyze.
5. Review results — get structured analysis output.

Pricing

Per 5-second billing with minimum charge for videos ≤5 seconds. Maximum billable duration is 120 seconds.

Task Modes

Best Use Cases

• Video Cataloging — Automatically generate descriptions for video libraries.
• Content Moderation — Analyze video content for review workflows.
• Accessibility — Create text descriptions for visually impaired users.
• Search & Discovery — Generate metadata for video search systems.
• Analytics — Count objects, people, or events in footage.
• Summarization — Create quick summaries for long-form content.

Example Instructions

• “Focus on the people in the video and describe their actions.”
• “Count how many cars appear in this video.”
• “Summarize the main events in chronological order.”
• “Describe the setting and atmosphere of each scene.”
• “Identify any text or logos visible in the video.”
• “What products are being demonstrated?”

Pro Tips for Best Results

• Choose the appropriate task mode for your specific need.
• Use “text” parameter to focus analysis on specific elements.
• Combine “general” task with custom questions for flexible Q&A.
• Use “counting” for metrics like people, objects, or occurrences.
• “scene_description” works great for accessibility and content tagging.
• Keep videos under 2 minutes for optimal processing.

Notes

• Maximum supported video duration is 120 seconds (2 minutes).
• If using a URL, ensure it is publicly accessible.
• Processing time scales with video length.
• Different tasks produce different output formats optimized for their purpose.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/video-understanding" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "task": "general"
}'

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