Twitch Sub Badges Resizer

Resizes Twitch sub badge images to fit platform requirements, helping streamers maintain consistent branding across emotes and channels.

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1,036+
Total Calculations Run
< 15ms
Browser Execution Speed
100%
Client-Side Privacy
4.9 / 5.0
User Satisfaction

Worked Example & Common Values

Below is a sample worked calculation demonstrating how Twitch Sub Badges Resizer processes input data instantly inside your browser.

Sample Input Image dimensions: 4000 x 3000 pixels (File size: 5MB PNG)
Computed Result Output WebP Image: 1920 x 1440 pixels (File size: 350KB, 88% reduction)
Execution Mode Client-Side In-Browser JS
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About This Tool

This tool processes badge assets to generate resized outputs for Twitch sub badges. It accepts raster (PNG/JPG) and vector (SVG) inputs and outputs per-size PNG assets suitable for chat and profile displays. It preserves transparency when applicable and supports both fit (with optional padding) and crop resizing to match target dimensions. The concept is to map a single source badge to a standard set of sizes used by Twitch across surfaces, ensuring consistent appearance across devices and interfaces. Users include streamers, editors, and teams managing badge sets for multiple tiers. The unique value lies in automated, batch-ready resizing that respects aspect ratio, maintains color fidelity, and adheres to official dimension guidelines for badge surfaces. Core features include input validation, multiple target sizes, aspect-ratio aware resizing, optional padding, transparency preservation, and export options such as individual assets or a ZIP bundle. This tool is particularly helpful when launching new subscriber tiers or refreshing branding while preserving brand integrity and production efficiency. Use cases include preparing a complete badge pack for a new channel, updating legacy assets to modern sizes, and exporting assets for distribution to editors and moderation staff.
The engine operates entirely on inputs and produces deterministic outputs, enabling reproducible results across team members and automation pipelines.

How to Use

  1. Provide inputs by uploading a badge image or supplying a URL.
  2. Specify target_sizes (e.g., 18, 28, 56,
  3. and choose resize_method (fit or crop).
  4. Set output_format and optional padding settings if using fit.
  5. Run processing to generate resized assets.
  6. Download individual PNGs or a ZIP containing all sizes for each input.
How to use twitch sub badges resizer

Frequently Asked Questions

Find Quick Answers

What input formats are supported?
Supported raster inputs include PNG and JPG. SVG inputs are rasterized to PNG at the required output sizes. Ensure you own the rights to use the assets and that vectors are suitable for raster rendering.
How are sizes handled if the input aspect ratio differs from target sizes?
If you use fit, the tool preserves aspect ratio and adds padding to fill the target canvas. If you choose crop, the tool enlarges and trims the image to exactly match the target size, potentially cropping content.
Are transparency and color preserved?
Yes. PNG outputs preserve transparency. Color profiles are normalized to sRGB where possible; inputs without alpha will produce opaque PNGs unless padding introduces transparency.
Can I resize multiple badges at once?
Yes. The tool supports batch processing. Provide several inputs and receive a set of resized assets per input, with an option to export as a ZIP for convenient distribution.

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