Introduction

Parallelized video enhancements in the cloud

Overview

Welcome to the Topaz Labs Video AI API! Our video enhancement APIs offer world-class capabilities such as:

  • Upscale: Enhance video resolution while maintaining clarity and sharpness.

  • Frame Interpolation: Smooth motion by generating new frames.

  • Denoise: Remove noise and grain for a cleaner look.

  • More: Explore advanced filters for compression recovery, detail enhancement, and more.

All of our AI models are developed in-house by our team of PhD researchers in Dallas, Texas. The Topaz Labs Video AI API focuses on unparalleled:

  • Quality: Industry-defining enhancement fit for professional use cases, from filmmaking to archival restoration.

  • Fidelity: Preserve the original look and feel of the source video while improving its quality.

  • Efficiency: Low per-minute cost with maximum speed for enhancing everything from short clips to full-length films.

Resources

To learn more about the details behind our AI models and capabilities, reference our desktop software application documentation below:

Authentication

You will need a Topaz API key in order to make requests to this API. Make sure you never share your API key with anyone, and you never commit it to a public repository.

Once you have your API key, set it as the X-API-Key header of your requests.

Please contact support if any assistance is needed.

Please visit https://www.topazlabs.com/api to get started with an API key if you have not already.

API Workflow

Here’s how to enhance your video using the API:

  • Create a Request: Use POST /video/ to define the video source, desired filters, and output specifications. This step returns an estimated cost and processing time.

  • Accept the Request: Confirm the job by calling PATCH /video/{requestId}/accept to reserve credits and receive signed upload URLs.

  • Upload the Video: Upload the video in parts using the provided URLs.

  • Complete Upload: Finalize the upload with PATCH /video/{requestId}/complete-upload/ to queue the job.

  • Check Status: Track progress via GET /video/{requestId}/status.

  • Download Enhanced Video: Once complete, download the processed video using a signed URL.

For a comprehensive, step-by-step walkthrough, please see the guide here.

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