Bulk Image Dimension Analyzer Online - Free & Fast

Drag images here or click to select

Supported formats: JPG, PNG, WebP, GIF, AVIF, SVG

What is an Image Dimension Analyzer?

Our online tool allows you to bulk determine the dimensions, size, and technical parameters of any number of images at once. All information is clearly displayed in a table and can be exported as a CSV or JSON file for further use in Excel, databases, or custom applications.

How to Find Image Dimensions?

  1. Upload Images - Drag and drop them or click to select (you can upload dozens or even hundreds at once)
  2. Automatic Analysis - The tool instantly detects all parameters
  3. View Results - Dimensions, size, format, megapixels, aspect ratio
  4. Export Data - Download as CSV or JSON for further processing

What Image Information Will You Get?

📐 Dimensions (Width × Height)

Width and Height in Pixels:

  • Exact dimensions of each image
  • Format: 1920 × 1080, 4000 × 3000 etc.
  • Important for: Web design, print, social media

Usage Example:

  • Resolution check before uploading to web
  • Size verification for print (300 DPI)
  • Determining if images are HD, Full HD, 4K

📦 File Size

Size in Various Units:

  • Format: Bytes, KB, MB, GB
  • Automatic conversion to the best unit
  • Total size of all images

Usage:

  • Size check before upload (server limits)
  • Storage optimization
  • Bandwidth planning for download

🖼️ Image Format

Supported Formats:

  • JPEG/JPG - Most common, compression
  • PNG - Transparency, lossless
  • WebP - Modern, small size
  • GIF - Animation
  • AVIF - New generation
  • SVG - Vector graphics

🔢 Megapixels (MP)

Resolution expressed in megapixels:

  • Calculation: (width × height) / 1,000,000
  • Example: 4000×3000 = 12 MP

Categories:

ResolutionMegapixelsUsage
HD0.9 MPWeb thumbnails
Full HD2.1 MPWeb, monitor
4K UHD8.3 MPTV, streaming
8K33.2 MPCinema, professional
12 MP12 MPSmartphone photos
24 MP24 MPDSLR, mirrorless
50 MP50+ MPMedium format

📊 Aspect Ratio

Common Ratios:

  • 16:9 - HD video, monitors, TV
  • 4:3 - Classic photos, old monitors
  • 3:2 - DSLR cameras
  • 1:1 - Instagram square
  • 21:9 - Ultrawide monitors
  • 9:16 - Mobile video (portrait)

Custom Ratios:

  • The tool automatically calculates non-standard ratios as well
  • Displayed in a simplified format (e.g. 683:512)

Practical Uses

📸 Photography & Portfolio

For Photographers:

  • ✅ Resolution consistency check in portfolio
  • ✅ Size verification before sending to client
  • ✅ Preparing a list for stock photos
  • ✅ Archiving and cataloging

Workflow:

  1. Upload all photos from a photoshoot
  2. Check that all have the same dimensions
  3. Export CSV with metadata for your database
  4. Filter by size or format

🌐 Web Development

Image Optimization for Web:

  • ✅ Identify overly large images
  • ✅ Check before uploading to CMS
  • ✅ Plan responsive breakpoints
  • ✅ Audit existing content

Example:

Goal: All hero images must be 1920×1080px
1. Upload all hero images
2. Sort by dimensions
3. Identify images with different dimensions
4. Re-process only incompatible images

🎨 Graphic Design

Preparation for various media:

  • ✅ Dimension check for print (DPI check)
  • ✅ Banner size verification
  • ✅ Social media size compliance
  • ✅ Multi-platform asset management

Recommended Dimensions:

PlatformTypeDimensions
InstagramPost1080×1080 (1:1)
InstagramStory1080×1920 (9:16)
FacebookCover820×312
TwitterHeader1500×500
LinkedInBanner1584×396
YouTubeThumbnail1280×720

📱 Mobile App Development

Asset management:

  • ✅ Check @1x, @2x, @3x versions
  • ✅ Icon size verification
  • ✅ Launch screen dimensions
  • ✅ Consistency check

iOS Example:

Icon sizes: 20×20, 29×29, 40×40, 60×60, 76×76, 83.5×83.5
Launch: 1242×2688, 1125×2436, etc.

🛒 E-commerce

Product images:

  • ✅ Check minimum resolution of products
  • ✅ Consistency across categories
  • ✅ Thumbnail vs full size check
  • ✅ Zoom image requirements (2000×2000+)

Shopify/WooCommerce standards:

  • Product photos: Min. 1200×1200px
  • Thumbnails: 300×300px
  • Zoom: 2000×2000px+

📊 Data Analytics

Image library analysis:

  • ✅ Determine average image size
  • ✅ Identify outliers (too large/small)
  • ✅ Format distribution
  • ✅ Storage audit

Export to CSV:

File Name,Width,Height,File Size,Format,Megapixels,Aspect Ratio
photo1.jpg,4000,3000,2.4 MB,JPEG,12.00,4:3
photo2.png,1920,1080,1.1 MB,PNG,2.07,16:9

Export Functionality

CSV Export

CSV File Structure:

  • File Name - File name
  • Width - Width in pixels
  • Height - Height in pixels
  • Dimensions - Formatted dimensions (1920×1080)
  • File Size (bytes) - Exact size in bytes
  • File Size - Formatted size (2.4 MB)
  • Format - File type (JPEG, PNG, …)
  • Megapixels - Resolution in MP
  • Aspect Ratio - Aspect ratio (16:9, 4:3, …)

Using CSV:

  • ✅ Import into Excel/Google Sheets
  • ✅ Database systems
  • ✅ Further analysis in Python/R
  • ✅ Reporting and documentation

JSON Export

JSON Structure:

[
  {
    "fileName": "photo.jpg",
    "width": 1920,
    "height": 1080,
    "dimensions": "1920×1080",
    "fileSize": 245760,
    "fileSizeFormatted": "240 KB",
    "format": "JPEG",
    "megapixels": 2.07,
    "aspectRatio": "16:9"
  }
]

Using JSON:

  • ✅ Programmatic processing (JavaScript, Python, …)
  • ✅ API integration
  • ✅ Databases (MongoDB, PostgreSQL JSON)
  • ✅ Web applications

Sorting and Filtering

Sorting by Various Criteria

By Name (A-Z):

  • Alphabetical sorting of files
  • Useful for organized folders

By Dimensions (largest first):

  • Sorting by total pixel count
  • Quick identification of the largest images

By File Size:

  • From largest to smallest
  • Finding images for optimization

By Format:

  • Grouping by type (JPG, PNG, WebP)
  • Overview of format distribution

Technical Specifications

Supported Formats

FormatCompressionTransparencyAnimationNote
JPEGLossyMost common
PNGLosslessWeb graphics
WebPBothModern, small
GIFLosslessOld animations
AVIFLossyNew generation
SVGN/AVector

Limits and Performance

Maximum number of images:

  • Theoretical limit: Unlimited
  • Practical recommended limit: 100-200 at once
  • Depends on: Browser RAM, image size

Processing Speed:

  • Small images (< 500 KB): < 10ms each
  • Medium images (500 KB - 2 MB): 10-50ms
  • Large images (2-10 MB): 50-200ms

Image Size:

  • Supported: From 1×1px to 10000×10000px+
  • Canvas limit: Depends on browser (usually 16384×16384)

Privacy and Security

Local Processing

100% processing in your browser:

  • Images are NOT SAVED on the server
  • No cloud uploading
  • Instant analysis without data submission
  • Offline capable (after page load)

GDPR Compliance

  • ✅ No server-side processing
  • ✅ No data collection
  • ✅ No cookies for widget functionality
  • ✅ Your files never leave your device

Frequently Asked Questions (FAQ)

How many images can I analyze at once? Theoretically unlimited, but for optimal performance, we recommend a maximum of 100-200 images at once. For larger volumes, process in batches.
Does the tool work with RAW formats (CR2, NEF, ARW)? No, browsers do not natively support RAW formats. Please use standard formats like JPEG, PNG, WebP, GIF, AVIF, or SVG.
Can I export only selected images? Currently, the export includes all uploaded images. For selective export, upload only the desired files.
Are the dimensions in pixels or inches? Dimensions are always in pixels. To convert to inches/cm, use the image's DPI (typically 72 DPI for web, 300 DPI for print).
How to convert pixels to cm for print? Formula: cm = pixels / DPI × 2.54 Example: 3000px at 300 DPI = 3000/300 × 2.54 = 25.4 cm
Does the tool work offline? Yes, after the page loads. It does not require an internet connection for image analysis.
Can I analyze images from a URL? No, currently we only support local files. Please download the images first, then upload them to the tool.

Tips for Effective Use

Bulk Check Before Upload

Workflow:

  1. Upload all images intended for the web
  2. Sort by file size
  3. Identify images > 1 MB
  4. Optimize/compress them
  5. Export CSV as a checklist

Preparation for Various Platforms

Social media batch check:

  1. Upload all prepared posts
  2. Sort by dimensions
  3. Verify the correct aspect ratio for the platform
  4. Re-process incompatible ones

Audit Existing Content

Web content audit:

  1. Download images from the web (wget, bulk download)
  2. Upload to the analyzer
  3. Export CSV
  4. Analyze in Excel (pivot tables, filtering)
  5. Create an action plan for optimization

Data for Reporting

Client Reporting:

  1. Analyze provided images
  2. Export JSON/CSV
  3. Import into a reporting tool
  4. Present statistics (average size, formats, etc.)

For Developers

Import CSV in Various Languages

Python (pandas):

import pandas as pd
df = pd.read_csv('image-dimensions.csv')
print(df.describe())

JavaScript:

fetch('image-dimensions.csv')
  .then(r => r.text())
  .then(csv => {
    const rows = csv.split('\n').slice(1);
    const data = rows.map(row => row.split(','));
  });

Excel:

Data → From Text/CSV → Select file → Import

Processing JSON

Node.js:

const fs = require('fs');
const data = JSON.parse(fs.readFileSync('image-dimensions.json'));

// Average size
const avgSize = data.reduce((sum, img) => sum + img.fileSize, 0) / data.length;

// Filtering large images
const large = data.filter(img => img.fileSize > 1000000);

SQL (PostgreSQL):

CREATE TABLE images (
  filename TEXT,
  width INT,
  height INT,
  filesize BIGINT,
  format TEXT,
  megapixels DECIMAL
);

COPY images FROM 'image-dimensions.csv' CSV HEADER;

-- Statistics
SELECT format, COUNT(*), AVG(megapixels)
FROM images
GROUP BY format;

Use Cases for Different Professions

Photographers

  • Resolution check before submission
  • Archive cataloging
  • Client delivery checklist

Web Designers

  • Asset audit
  • Responsive breakpoint planning
  • Optimization targeting

E-commerce Managers

  • Product image compliance
  • Quality control
  • Batch upload preparation

Marketers

  • Social media asset check
  • Campaign material verification
  • Multi-platform optimization

Developers

  • API response planning
  • Database schema design
  • Performance optimization