Video Resizer

Video Resizer helps creators quickly set target dimensions and formats for videos, reducing file size while preserving quality for social, web, and broadcast workflows.

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552+
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 Video 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

The Video Resizer analyzes a source video and computes the necessary scale and padding to meet a target width and height or predefined presets. It supports fit, crop, and pad resizing modes, preserving aspect ratio when requested and applying padding or cropping to achieve exact target dimensions. Outputs include common containers such as MP4, WebM, and MOV, with adjustable video bitrate, audio bitrate, and frame rate. The tool exposes deterministic dimension calculations, quality-preserving resampling, and metadata generation for downstream workflows. It is designed for content teams and independent creators who publish to multiple platforms with varying size requirements. The core value lies in predictable outputs, standardized presets, and scriptable encoding options that reduce manual trial-and-error resizing. Use cases include preparing footage for YouTube, Instagram Reels, websites, and broadcast pipelines, where consistent dimensions and formats are essential. Unique differentiators include platform-oriented presets, API-ready configuration, and batch processing support for multiple assets in a single run. Core features cover input validation, aspect-ratio handling, multiple resize strategies, and transparent output reporting. High-contrast, platform-agnostic outputs enable reliable automation across tools and services.

How to Use

  1. Provide inputs: source_path and target_width/target_height or select a preset.
  2. Choose resizing method: fit to preserve aspect, crop to fill, or pad to exact dimensions.
  3. Set output settings: format, bitrate, frame rate, and audio options.
  4. Run processing: initiate resize; monitor progress if available.
  5. Retrieve results: download the resized file and review encoding log.
How to use online video resizer ezgif.com

Frequently Asked Questions

Find Quick Answers

What inputs are required?
At minimum, provide the source video path and either target dimensions (width and height) or a preset. Optional inputs include output format, bitrate, and frame rate for encoding control.
What formats are supported?
Common container formats such as MP4, WebM, and MOV are supported. Codecs may vary by format; select an output format aligned with your platform and codec availability.
How accurate is the file size estimate?
Estimated size is based on bitrate and duration, plus encoder efficiency. Actual size may vary with content complexity and compression gains. Use a bitrate cap for tighter control.
Can I batch resize multiple videos?
Yes. Batch processing allows applying the same target dimensions and formats to multiple source files in a single run, streamlining workflows for larger catalogs.

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