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Convert TIFF to Compressed TIFF

Convert TIFF images to compressed TIFF format with various compression methods and optimization settings

Click to upload file or drag and drop file here

Maximum file size: 100MB Supported formats: image/tiff

1 80 100

Quality for lossy compression (1-100, higher = better quality)

Use tiled TIFF format for better memory efficiency

Tile width in pixels (only if tiling is enabled)

Tile height in pixels (only if tiling is enabled)

Create multi-resolution image pyramid

Preserve original image metadata (EXIF, IPTC, XMP)

Key Facts

Category
Media
Input Types
file, select, range, checkbox, number
Output Type
file
Sample Coverage
4
API Ready
Yes

Overview

Easily convert and optimize your TIFF images by applying professional-grade compression methods, tiling, and pyramid structures to reduce file size while maintaining image integrity.

When to Use

  • •When you need to reduce the file size of high-resolution TIFF images for storage or web use.
  • •When preparing large images for efficient rendering using tiling and image pyramid settings.
  • •When you need to switch between lossless and lossy compression formats like LZW, Deflate, or JPEG.

How It Works

  • •Upload your source TIFF file to the tool.
  • •Select your preferred compression method and adjust quality settings if using lossy formats.
  • •Configure advanced options like tiling, image pyramids, or metadata preservation as needed.
  • •Process the file and download your optimized, compressed TIFF image.

Use Cases

Optimizing large-scale archival scans for reduced storage footprint.
Preparing high-resolution imagery for web-based deep zoom viewers.
Standardizing image formats for professional print workflows using specific compression requirements.

Examples

1. Archiving High-Res Scans

Archivist
Background
A collection of high-resolution TIFF scans is consuming too much server storage.
Problem
Need to reduce file size without losing image quality for long-term preservation.
How to Use
Upload the TIFF file and select 'Deflate' compression with 'Horizontal' predictor enabled.
Example Config
Compression: Deflate, Predictor: Horizontal
Outcome
Significant reduction in file size while maintaining a 100% lossless image quality.

2. Web-Ready Large Images

Web Developer
Background
A website needs to display a massive 500MB map image that causes browser lag.
Problem
The image is too large to load efficiently in a standard web viewer.
How to Use
Enable 'Tiling' and 'Create Image Pyramid' to optimize the file for tiled rendering.
Example Config
Tiling: Enabled, Tile Width: 256, Tile Height: 256, Pyramid: Enabled
Outcome
The image loads in small, manageable chunks, allowing for smooth zooming and panning on the website.

Try with Samples

image, file
TIFF Samples
Sample TIFF images in different aspect ratios and themes with high-quality uncompressed format
title token tiff
image
Web Image Processing Python Samples
Web Python image processing examples using PIL/Pillow including reading, saving, resizing, and format conversion
preferred input family image
image
Windows Image Processing C++ Samples
Windows C++ image processing examples including reading/saving images, resizing, and format conversion using Windows Imaging Component (WIC)
preferred input family image
image
Web Image Processing Rust Samples
Web Rust image processing examples including image read/save, scaling, and format conversion
preferred input family image
image

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FAQ

What is the difference between LZW and JPEG compression?

LZW is a lossless compression method ideal for graphics and line art, while JPEG is a lossy method that provides higher compression ratios, making it better suited for photographs.

Can I keep my original EXIF data?

Yes, by checking the 'Keep Metadata' option, the tool will preserve your original EXIF, IPTC, and XMP data during the conversion.

What does enabling tiling do?

Enabling tiling breaks the image into smaller blocks, which improves memory efficiency and allows for faster access to specific parts of large images.

What is an image pyramid?

An image pyramid creates multiple resolutions of the same image within one file, which is highly effective for viewing very large images smoothly at different zoom levels.

Is there a limit to the file size I can upload?

The tool supports individual TIFF files up to 100MB.

API Documentation

Request Endpoint

POST /en/api/tools/tiff-to-compressed-tiff

Request Parameters

Parameter Name Type Required Description
imageFile file (Upload required) Yes -
compression select No -
quality range No Quality for lossy compression (1-100, higher = better quality)
predictor select No -
tiling checkbox No Use tiled TIFF format for better memory efficiency
tileWidth number No Tile width in pixels (only if tiling is enabled)
tileHeight number No Tile height in pixels (only if tiling is enabled)
pyramid checkbox No Create multi-resolution image pyramid
keepMetadata checkbox No Preserve original image metadata (EXIF, IPTC, XMP)

File type parameters need to be uploaded first via POST /upload/tiff-to-compressed-tiff to get filePath, then pass filePath to the corresponding file field.

Response Format

{
  "filePath": "/public/processing/randomid.ext",
  "fileName": "output.ext",
  "contentType": "application/octet-stream",
  "size": 1024,
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
File: File

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-tiff-to-compressed-tiff": {
      "name": "tiff-to-compressed-tiff",
      "description": "Convert TIFF images to compressed TIFF format with various compression methods and optimization settings",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=tiff-to-compressed-tiff",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

Supports URL file links or Base64 encoding for file parameters.

If you encounter any issues, please contact us at [email protected]