Biseyal Tools

Welcome to Biseyal Tools

Free online tools to Compress, Convert, and Resize your images with ease.

Image Compression

Reduce file size without losing quality.

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Image Conversion

Convert images to different formats instantly.

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Resize Images

Adjust image dimensions to your needs.

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Frequently Asked Questions

Image Tools – Resize, Convert, Compress Guide

Compress · Convert · Resize — A Unified Practical Guide

Overview: Compression, conversion, and resizing are core operations across web development, media production, data engineering, and everyday tooling. Though they serve different purposes—reducing size, changing representation, and altering dimensions—they are often combined in practical workflows. This guide explains concepts, tools, examples, and best practices to handle these tasks reliably and at scale.

1. Concepts & relationships

Compress reduces data size by exploiting redundancy (lossless) or perceptual tolerance (lossy). Convert changes format or representation (e.g., PNG → JPEG, DOCX → PDF, JSON → CSV). Resize changes pixel dimensions or sampling resolution for images and video. In real workflows you often resize first, then compress and convert to the desired output format to balance quality, compatibility, and size.

2. When to use each operation

  • Resize: When target display size or storage constraints require different pixel dimensions (thumbnails, responsive images, print sizes).
  • Convert: For compatibility or feature reasons (e.g., convert to WebP for web, to PDF for sharing, to MP3 for audio playback).
  • Compress: To reduce file size for transfer or storage—choose lossless for code/text and lossy for photos/media where reduced fidelity is acceptable.
Rule of thumb: For image pipelines, resize to the target physical pixel dimensions first, then re-encode/convert to the target format with compression tuned for the final size.

3. File formats and trade-offs

Pick formats by the use case:

  • Images: JPEG (photo, lossy), PNG (lossless, transparency), WebP/AVIF (modern, efficient), SVG (vector, scales infinitely).
  • Video: MP4/H.264 (compatibility), WebM/VP9 or AV1 (efficiency).
  • Audio: MP3/AAC (compatibility), Opus (efficiency).
  • Documents: PDF for sharing/printing, DOCX for editing.

4. Resizing — quality & algorithms

Use appropriate interpolation depending on content:

  • Nearest neighbor for pixel art.
  • Bicubic/Lanczos for photographic content when downscaling.
  • AI upscalers (ESRGAN) for upscaling when detail recovery matters.
# ImageMagick example: resize while keeping aspect ratio
magick input.jpg -resize 1200x -quality 85 output-1200.jpg

5. Conversion — preserving intent

Conversion must preserve the information that matters. Converting HTML to PDF requires attention to CSS, page breaks, and fonts. Converting JSON to CSV requires schema/flattening decisions. Document conversions should consider metadata and accessibility (tags, alt text).

6. Compression — lossless vs lossy

Choose lossless for code and archives, lossy for photos and streaming media. For web text assets, Brotli or gzip are standards; for images use format-native compression (WebP/AVIF). For backups prefer zstd or xz depending on speed/ratio needs.

7. Tooling: combined workflows

Practical pipelines combine multiple tools. Example: upload → sanitize → resize → convert → compress → store/serve.

Example: Web image pipeline

  1. Upload: accept user image and validate type/size.
  2. Sanitize: strip dangerous metadata or scripts (SVG).