Enhancements & AI Models

The Video AI API provides multiple enhancement options, allowing you to tailor the processing to your needs. Enhancements include upscaling, noise reduction, motion smoothing, and artifact correction. Below are the key enhancement categories and the AI models that power them:

1. Upscaling & Detail Enhancement

Enhance video resolution while preserving fine details and textures.

• aaa-9
• ahq-12
• alq-13
• alq-2
• amq-13
• amqs-2
• apf-2

2. Denoising & Compression Recovery

Reduce noise and artifacts caused by compression while improving overall video fidelity.

• chf-3
• chr-2
• ddv-3
• dtd-4
• dtds-2
• dtv-4
• dtvs-2

3. Frame Interpolation & Motion Enhancement

Generate new frames to create smoother motion and adjust frame rates.

• gcg-5
• ghq-5
• iris-2
• iris-3
• nxf-1
• nyx-3

4. Sharpening & Texture Recovery

Recover lost detail and sharpen blurry footage without over-enhancing.

• prob-4
• rhea-1
• rxl-1
• thd-3
• thf-4
• thm-2

For detailed descriptions of each model, visit: Topaz Labs Video AI Model Guide.

Parameter Customization

Each enhancement can be fine-tuned using adjustable parameters:

• compression: Controls compression recovery strength
• details: Adjusts detail reconstruction level
• fps: Sets the output frame rate
• slowmo: Applies slow-motion effect
• sharpen: Enhances edges and fine details
• noise: Controls noise reduction intensity
• halo: Reduces halo artifacts and improves clarity
• focus: Adjusts focus correction for blurred content
• grain: Adds controlled grain for texture and filmic effect
• recoverOriginalDetail: Reintroduces lost details into the processed video
• duplicate: Detects and removes duplicate frames to optimize output.