Video by Topaz

Topaz Video Upscale API

Pro-grade video upscale and frame interpolation.

Integrate Topaz Video Upscale with a single API call — one key, one unified endpoint, and shared billing across every model on Apiframe.

Get API Key View Docs

model: "topaz-video-upscale"

What's special about Topaz Video Upscale

Outputs at 720p / 1080p / 4k.
Image-to-video and reference-image support.
Fast turnaround — about 300s per generation on average.
Pay-as-you-go pricing with no Topaz account required — you only pay for successful generations.
One API key, unified billing, idempotency and webhooks across every Apiframe model.

Made with Topaz Video Upscale

A few outputs generated through the Topaz Video Upscale API on Apiframe.

Sample coming soon

Overview

Endpoint: POST /v2/videos/upscale
Model ID: topaz-video-upscale
Params key: topazVideoParams
Modality: video
Provider: Topaz
Pricing: Pay-as-you-go
Avg. completion: ~300s

Capabilities

Resolutions720p, 1080p, 4k

Image inputSupported

Avg. time~300s

Quick start

Send a single POST /v2/videos/upscale request with your API key to generate with Topaz Video Upscale. The call returns a jobId you can poll or receive via webhook.

curl -X POST https://api.apiframe.ai/v2/videos/upscale \
  -H "X-API-Key: afk_your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
        "model": "topaz-video-upscale",
        "topazVideoParams": {
            "video": "https://example.com/input.jpg",
            "target_resolution": "1080p",
            "target_fps": "30",
            "enhance_model": "auto"
        }
    }'

import requests

response = requests.post(
    "https://api.apiframe.ai/v2/videos/upscale",
    headers={
        "X-API-Key": "afk_your_api_key_here",
        "Content-Type": "application/json",
    },
    json={
        "model": "topaz-video-upscale",
        "topazVideoParams": {
            "video": "https://example.com/input.jpg",
            "target_resolution": "1080p",
            "target_fps": "30",
            "enhance_model": "auto"
        }
    },
)
print(response.json())  # { "jobId": "...", "status": "QUEUED" }

const response = await fetch("https://api.apiframe.ai/v2/videos/upscale", {
  method: "POST",
  headers: {
    "X-API-Key": "afk_your_api_key_here",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "topaz-video-upscale",
    "topazVideoParams": {
      "video": "https://example.com/input.jpg",
      "target_resolution": "1080p",
      "target_fps": "30",
      "enhance_model": "auto"
    }
  }),
});
const { jobId } = await response.json();
console.log(jobId);

Response & job lifecycle

Generation is asynchronous. A successful submission returns 202 Accepted with a jobId. Poll GET /v2/jobs/{id} (or supply a webhook_url) until the status is COMPLETED; the result field then holds the output URL(s).

1. Submission response (202)

{
  "jobId": "b2c3d4e5-f6a7-8901-bcde-f23456789012",
  "status": "QUEUED"
}

2. Poll for the result

curl https://api.apiframe.ai/v2/jobs/JOB_ID \
  -H "X-API-Key: afk_your_api_key_here"

import requests, time

while True:
    job = requests.get(
        "https://api.apiframe.ai/v2/jobs/JOB_ID",
        headers={"X-API-Key": "afk_your_api_key_here"},
    ).json()
    if job["status"] in ("COMPLETED", "FAILED"):
        break
    time.sleep(2)
print(job["result"])

let job;
do {
  await new Promise((r) => setTimeout(r, 2000));
  job = await fetch("https://api.apiframe.ai/v2/jobs/JOB_ID", {
    headers: { "X-API-Key": "afk_your_api_key_here" },
  }).then((r) => r.json());
} while (job.status !== "COMPLETED" && job.status !== "FAILED");
console.log(job.result);

Input schema

Request parameters accepted by the Topaz Video Upscale endpoint. Model-specific options are nested under the params object shown below.

Parameter	Type	Required	Default	Allowed / range	Description
model	string	required	"topaz-video-upscale"	"topaz-video-upscale"	The model identifier for this endpoint.
topazVideoParams.video	string (URL)	optional	—	—	mp4 / mov / webm.
topazVideoParams.target_resolution	string	optional	"1080p"	"720p", "1080p", "4k"	Target resolution
topazVideoParams.target_fps	string	optional	"30"	"24", "30", "60"	Target fps
topazVideoParams.enhance_model	string	optional	"auto"	"auto", "theia-fine-tune-detail", "theia-fine-tune-fidelity", "apollo", "rhea", "iris"	Enhance model
topazVideoParams.subject_detection	string	optional	"all"	"all", "foreground", "background", "none"	Subject detection

Frequently Asked Questions

Common questions about the Topaz Video Upscale API.

Is there an API for Topaz Video Upscale?

Yes. Apiframe exposes Topaz Video Upscale through a single REST endpoint (`POST /v2/videos/upscale` with `model: "topaz-video-upscale"`). You get one unified API, key, and billing across every supported model — no separate Topaz account required.

How much does the Topaz Video Upscale API cost?

Topaz Video Upscale uses simple pay-as-you-go pricing on Apiframe — you only pay for successful generations. See the pricing page for plans and volume discounts.

How do I call the Topaz Video Upscale API?

Send a POST request to `/v2/videos/upscale` with your `X-API-Key` and a JSON body containing `model: "topaz-video-upscale"`. The call returns a `jobId`; poll `GET /v2/jobs/{id}` or use a webhook to receive the result.

What parameters does Topaz Video Upscale support?

Topaz Video Upscale accepts 5 model-specific parameters (nested under `topazVideoParams`) plus the common `prompt` and `webhook_url` fields. See the input schema above for the full list with types and defaults.

Still have questions?

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Start building with the Topaz Video Upscale API

Get your API key and integrate Topaz Video Upscale in minutes — Pay-as-you-go.

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One API for every model

Webhooks, SDKs & idempotency

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