I need a tool that will tell me the dimensions of my image urls I have hundreds#

The best way to quickly get the dimensions of hundreds of image URLs is to use an online tool or a quick script that processes images in bulk. For direct URL-based checking and exporting width/height info, consider these options:

Bulk Online Tools#

• Use an online tool like imagy.app Image Size Finder which lets you drag and drop unlimited images and shows each image’s width and height in a table, processing everything locally in your browser for privacy. This method allows batch analysis and exporting results.¹
• Boost Tool’s Batch Aspect Ratio Checker allows you to drag and drop multiple images at once, see their dimensions and aspect ratios immediately in a list, and export the results to CSV for further use.²
• For images on your own device, sites like Bulk Image Resize or BIRME also support processing many images easily, but generally require you to upload the files.³⁴

For Image URLs in a List#

• If your images are only accessible via URLs (not local files), you can use a lightweight script (for example, in Python using libraries like requests and Pillow, or a simple JavaScript batch), to download each image, extract its size, and save the info to a CSV. This is ideal for automation and handling very large batches of URLs efficiently.⁵
• A basic approach in JavaScript is to programmatically create an Image object for each URL, listen for the onload event, then read the .width and .height properties, and write results to a CSV or table.⁵

Example Code Flow (Python)#

• Read URLs from a text file or CSV.
• Download each image temporarily.
• Use Pillow (PIL.Image) to extract size.
• Write results (URL, width, height) to CSV.

This workflow matches best practice for privacy, scalability, and return format. For your use-case with hundreds of URLs, a script-based approach is the most robust, but the aforementioned online tools are useful for smaller jobs or drag-and-drop workflows.^{125 67891011121314151617}

I already have them downloaded I need the dimensions#

If the images are already downloaded, use a batch-processing script or a bulk analysis tool to extract dimensions efficiently.

Python Script (Recommended)#

Run a Python script using the Pillow library to scan a folder and output the dimensions for every image to a CSV:

1. Place all images in one folder.
2. Use this code:

import os
from PIL import Image
import csv

folder = "/path/to/your/images"
output_csv = "image_dimensions.csv"

with open(output_csv, 'w', newline='') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(["Filename", "Width", "Height"])
    for filename in os.listdir(folder):
        if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):
            filepath = os.path.join(folder, filename)
            with Image.open(filepath) as img:
                writer.writerow([filename, img.width, img.height])

This creates a CSV listing every image’s filename, width, and height.

Bulk Online Tools#

Several online services let you upload images and view/export their dimensions in bulk, such as:

• imagy.app Image Size Finder (drag-and-drop, shows dimensions in table, exportable)¹⁸
• Boost Tool’s Aspect Ratio Batch Checker¹⁹

For automation, the Python script above is fastest, but web tools are useful for smaller sets or if you prefer drag-and-drop workflows.¹⁸¹⁹

my images are hosted online already#

If your images are hosted online, the most efficient method is to use a script that fetches each image via its URL and extracts the dimensions automatically.

Python Script for Image URLs#

Here’s a ready-to-use script. Create a text file with one image URL per line, and run the following Python code:

import requests
from PIL import Image
from io import BytesIO
import csv

input_file = "image_urls.txt"   # One URL per line
output_csv = "image_dimensions.csv"

with open(input_file, 'r') as f:
    urls = [line.strip() for line in f.readlines() if line.strip()]

with open(output_csv, 'w', newline='') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(["URL", "Width", "Height"])
    for url in urls:
        try:
            response = requests.get(url, timeout=10)
            img = Image.open(BytesIO(response.content))
            writer.writerow([url, img.width, img.height])
        except Exception as e:
            writer.writerow([url, "Error", str(e)])

This will:

• Download each image via its URL.
• Detect the width and height using Pillow.
• Save results for each URL to a CSV.

Alternatives#

• Online tools that accept image URLs and display dimensions in batch are rare; most require uploading the files directly. Therefore, the script offers the best automation for large URL lists.²⁰
• For small batches, you could use browser extensions or paste URLs into sites like imagy.app’s Image Size Finder, but these work best for local files, not bulk URLs.²¹

For hundreds of images with online URLs, using the above script will give you a complete, automated solution.