Pricing

from $3.39 / 1,000 image processeds

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Image Resizer API

Try for free

Resize, crop, pad, and convert images by URL, base64, or key-value-store key. E-commerce, social, website, and WhatsApp presets. Batch up to 100 images per run.

Pricing

from $3.39 / 1,000 image processeds

Rating

0.0

(0)

Developer

ParseBird

Actor stats

Bookmarked

Total users

Monthly active users

8 days ago

Last modified

Categories

You can access the Image Resizer API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "images": [
10        {
11            "url": "https://placehold.co/1200x800.jpg?text=sample-1",
12            "id": "sample-image-1",
13        },
14        {
15            "url": "https://placehold.co/1280x840.jpg?text=sample-2",
16            "id": "sample-image-2",
17        },
18        {
19            "url": "https://placehold.co/1360x880.jpg?text=sample-3",
20            "id": "sample-image-3",
21        },
22        {
23            "url": "https://placehold.co/1440x920.jpg?text=sample-4",
24            "id": "sample-image-4",
25        },
26        {
27            "url": "https://placehold.co/1520x960.jpg?text=sample-5",
28            "id": "sample-image-5",
29        },
30    ],
31    "width": 800,
32    "height": 600,
33    "backgroundColor": "#FFFFFF",
34    "quality": 80,
35}
36
37# Run the Actor and wait for it to finish
38run = client.actor("parsebird/image-resizer-api").call(run_input=run_input)
39
40# Fetch and print Actor results from the run's dataset (if there are any)
41print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
42for item in client.dataset(run.default_dataset_id).iterate_items():
43    print(item)
44
45# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Image Resizer API - PNG, JPEG, WebP API in Python

The Apify API client for Python is the official library that allows you to use Image Resizer API API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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Image Resizer API OpenAPI definition

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