Common questions about Document Optimization usually focus on image quality, reduction results, and workflow differences; this section covers 3 frequent questions.
FAQ
Will Document Optimization affect document quality?
- Document Optimization mainly reduces file size by compressing images and cleaning redundant data.
- Text content and layout usually stay the same.
- If the document contains many high-resolution images, image clarity may change to some extent, so backing up the original document first is recommended.
What should I do if the file size reduction is not obvious?
- Check whether the document contains many images.
- If the document has very few images, the reducible space is usually limited.
- You can remove unnecessary images or reduce very high-resolution materials first, then run Document Optimization again.
What is the difference between Document Optimization and file compression?
- Document Optimization directly adjusts images and redundant data inside the document.
- File compression usually packages the whole file without changing the internal document structure.
- After extracting a compressed archive, the original file size usually returns, while an optimized document is saved as a smaller file.
Glossary
| Term | Definition |
|---|---|
| Document Optimization | A process that reduces document size by optimizing images and redundant data inside the file. |
| Back up original document | An option that keeps the original file before optimization so you can compare or restore it later. |
| Reducible space | The amount of file size the app determines can still be reduced after analysis. |