Clarity Ai Crystal Video Upscaler

Clarity Ai Crystal Video Upscaler

Playground

Clarity AI Crystal Video Upscaler is a fast AI video super-resolution model that increases video resolution with target megapixel control and Clarity AI crystal-video processing. Ready-to-use REST inference API for enhancing low-resolution videos, restoring details, improving visual clarity, upscaling creative clips, product videos, social media content, and professional video enhancement workflows with simple integration, no coldstarts, and affordable pricing.

Features

Clarity AI Crystal Video Upscaler

Clarity AI Crystal Video Upscaler enhances and enlarges video content with a simple megapixel-based target control. Upload a source video, choose the desired target megapixels, and generate a cleaner, sharper upscaled result for higher-quality delivery, presentation, or archival workflows.

Why Choose This?

• Video upscaling workflow Improve the visual quality of existing video content with a simple upload-and-upscale process.

• Megapixel-based output control Use target_megapixels to choose the intended output size more directly.

• Simple pricing logic Cost scales with both target megapixels and video duration, with a minimum charge for very small jobs.

• Suitable for restoration and delivery Useful for sharpening low-resolution clips for presentations, publishing, or asset reuse.

• Production-ready API Suitable for enhancement pipelines, archival cleanup, and commercial video preparation workflows.

Parameters

How to Use

1. Upload your video — provide the source video you want to enhance.
2. Choose target megapixels — set the desired output size based on your delivery needs.
3. Submit — run the model and download the upscaled video.

Example Use Case

Upscale a low-resolution talk-show or interview clip to a cleaner, sharper version for reuse in presentations, publishing, or social distribution.

Pricing

Pricing is based on video duration and target_megapixels.

Billing Rules

• Base price is $0.10
• Standard rate is $0.10 × target_megapixels × video duration (seconds)
• The final charge is the greater of:
  • $0.10 minimum
  • $0.10 × target_megapixels × duration

Example Costs

Best Use Cases

• Low-resolution video enhancement — Improve the clarity of older or compressed video clips.
• Presentation and publishing prep — Generate cleaner upscaled outputs for decks, demos, and public distribution.
• Archival restoration workflows — Prepare sharper versions of legacy footage for reuse.
• Commercial asset improvement — Upgrade visual quality for marketing, social, and branded content.
• General video cleanup — Increase perceived quality for clips that need a higher-resolution presentation.

Pro Tips

• Start with a lower target_megapixels value first to validate cost and output quality.
• Use clean source video whenever possible for better enhancement results.
• Higher megapixel targets can increase cost quickly on longer clips.
• Short clips are a good way to test the workflow before processing longer footage.

Notes

• video is required.
• Pricing depends on both target_megapixels and source video duration.
• A minimum charge of $0.10 applies.
• Longer videos and larger target sizes increase cost proportionally.

Related Models

• Other Clarity AI upscaling and enhancement models may be useful when you need image-first workflows or different restoration trade-offs.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/clarity-ai/crystal-video-upscaler" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "target_megapixels": 2
}'

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