Topaz Labs Video Upscale

Topaz Video AI upscales, enhances, denoises, stabilizes, and increases frame rates in video footage, transforming low-quality or standard-definition videos into ultra-sharp, high-resolution cinematic outputs up to 4k and 120FPS.

~235.86s
~$1.643
 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/topaz-video-upscale"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "video": "https://segmind-resources.s3.amazonaws.com/input/008b1c8e-5d9c-4ad3-96e3-0943f120058f-273289_medium.mp4",
12    "target_fps": 60,
13    "target_resolution": "1080p"
14}
15
16response = requests.post(url, headers=headers, json=data)
17
18if response.status_code == 200:
19    result = response.json()
20    print(json.dumps(result, indent=2))
21else:
22    print(f"Error: {response.status_code}")
23    print(response.text)

API Endpoint

POSThttps://api.segmind.com/v1/topaz-video-upscale

Parameters

videorequired
string (uri)

Video to upscale in mp4

target_fpsoptional
integer

Target FPS (15fps to 120fps)

Default: 60Range: 15 - 120
target_resolutionoptional
string

Target Resolution

Default: "1080p"
Allowed values :
"720p""1080p""4k"

Response Type

Returns: Video

Common Error Codes

The API returns standard HTTP status codes. Detailed error messages are provided in the response body.

400

Bad Request

Invalid parameters or request format

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions

404

Not Found

Model or endpoint not found

406

Insufficient Credits

Not enough credits to process request

429

Rate Limited

Too many requests

500

Server Error

Internal server error

502

Bad Gateway

Service temporarily unavailable

504

Timeout

Request timed out