GiliSoft Image Converter

Image Compression Software for Windows

Convert HEIC, RAW, JPG, PNG, WebP, TIFF, and other images in batches, then resize, rotate, rename, compress, split, merge, or package them as PDF.

GiliSoft Image Converter image workflow

Image Compression Software for Windows

GiliSoft • Windows image workflow

Use this workflow to reduce image file size for upload, email, websites, or documents without making important detail unreadable. Decide the destination first, keep the original, and approve a representative output before processing the full set.

Quick answer

Keep the source files, choose the required pixel dimensions and output format in GiliSoft Image Converter, test a representative image at the intended quality, and compare both visual detail and file size. Batch only after the sample passes in its destination.

Choose the Right Image Workflow

SituationRecommended approachWhat to verify
Web or email copyReduce dimensions and use a suitable compressed formatText edges, gradients, detail, and file size
Office document imageMatch dimensions to the placed useLegibility after Office or PDF export
Archive masterKeep the original format and pixelsNo repeated lossy conversion

Step-by-Step Workflow

  1. Define the destination

    Record the required format, pixel dimensions, aspect ratio, file-size limit, physical print size, or document placement before editing.

  2. Protect and inspect the source

    Work from a duplicate, check orientation, color profile, transparency, metadata, text, and the most difficult file in the set.

  3. Test the real product workflow

    Keep the source files, choose the required pixel dimensions and output format in GiliSoft Image Converter, test a representative image at the intended quality, and compare both visual detail and file size.

  4. Inspect a representative output

    Check pixel dimensions, output quality, transparency, and file size at normal size and 100% zoom, then test the file in its actual destination.

  5. Process and reconcile the set

    Apply approved settings, compare source and output counts, use clear filenames, and retain originals until delivery is accepted.

Use the GiliSoft Image Converter Workspace

These screenshots show real product workspaces for this task. Test the installed build with your own source formats and destination requirements before a large batch.

Use the real batch resize workspace to apply consistent dimensions to a tested image set.
Use the real batch resize workspace to apply consistent dimensions to a tested image set.
Choose output format and quality in the real conversion workflow, then inspect representative files.
Choose output format and quality in the real conversion workflow, then inspect representative files.

Review the Output Before Delivery

Pixel dimensions, output quality, transparency, and file sizeCompare the output with both the source and the destination requirement.
Visual qualityInspect small text, edges, gradients, faces, transparency, orientation, cropping, and color at useful zoom levels.
File handlingConfirm format, dimensions, filename, output folder, file size, source retention, and permission to publish or share.
Important limitation. Lossy compression removes image information. A smaller file can show artifacts around text, edges, gradients, or fine product detail, and repeated recompression makes the loss worse.

Frequently Asked Questions

Is resizing the same as compression?

No. Resizing changes pixel dimensions; compression changes how image data is stored. Both can reduce file size, but they have different quality effects.

Which format should I export?

Choose for the destination: JPG for ordinary photos, PNG for transparency or sharp graphics, and retain the original for future editing.

Can a batch use one setting for every image?

Only when the sources and destination needs are compatible. Separate portrait, landscape, transparent, print, and web assets when they need different rules.

Should I overwrite the source images?

No. Keep originals and export prepared copies to a separate folder until the destination output has been reviewed.

Why test one difficult image first?

A normal sample may hide problems with transparency, small text, unusual orientation, gradients, metadata, or very large dimensions.

Prepare a tested image copy for the destination

Keep the original, approve representative output, and verify the complete set before publishing, printing, recovering, or sharing it.