How to Keep Images and Captions Together When Converting DOCX to Markdown

When converting a Word document to Markdown, most people focus first on body text and tables. But in real product manuals, technical reports, and training materials, images and captions matter just as much.

If images are exported as a separate collection of files and their original placement is no longer visible in the Markdown, a great deal of context is lost—whether the document is being read by people or added to a RAG knowledge base.

Why do images and captions get separated?

Images in Word documents are not always simply “inserted after a paragraph.” They may be inline images, floating images, numbered captions, or elements mixed with tables, lists, and text boxes.

Basic extraction scripts often create several problems:

1. All images are exported to a folder: But there is no corresponding anchor in the Markdown, so it is unclear which paragraph each image belongs to.
2. Captions are separated from images: For example, “Figure 3-2 System Architecture” may be treated as an ordinary paragraph and lose its relationship with the image.
3. Image order is mixed up: In multi-column layouts or complex page designs, exported image order may not match reading order.
4. Knowledge base chunks lose context: During RAG chunking, image descriptions and related body text may be split into different chunks, reducing retrieval quality.

For documents containing many flowcharts, product screenshots, and equipment diagrams, these issues can significantly affect content usability.

What should a good Markdown extraction preserve?

Extracting Markdown from DOCX is not just about turning text into a .md file. More importantly, it should preserve the document’s reading structure as much as possible.

For images and captions, an ideal output should include:

• The image’s position within the body text.
• An image path or anchor that can be referenced in Markdown.
• Nearby headings, captions, or explanatory text.
• The correct sequence relative to section headings, paragraphs, and tables.

This makes the exported Markdown better suited for knowledge bases, documentation sites, and human review workflows.

How does SimplifyAI handle DOCX images and captions?

In SimplifyAI, DOCX-to-Markdown conversion first processes the Word document structure, then organizes body text, headings, tables, images, and other content into Markdown that is easier to read.

For images in a document, the system organizes extractable images into a structured folder and inserts image references at the corresponding locations in the Markdown. For common Word caption styles, such as Figure 1 / Figure 1 caption paragraphs, as well as explanatory text immediately before or after an image, the system identifies these common image-description relationships and aims to keep images and their related text adjacent in the Markdown output.

The exported result typically includes:

• Image references in the Markdown body.
• Image files in the images/ folder.
• Captions or explanatory text near each image.
• Paragraph order suitable for documentation sites or RAG preprocessing workflows.

This is especially useful for product manuals, training materials, and technical guides, where images often contain essential details about procedures, interfaces, and equipment.

Which use cases is this suited for?

This capability is useful for:

• Importing product manuals into an enterprise knowledge base.
• Organizing technical documents into a Markdown documentation site.
• Preparing DOCX files with screenshots, flowcharts, and captions for RAG.
• Extracting image-and-text structure from training materials.
• Processing long documents that need to preserve tables, heading hierarchy, and image placement.

If an image is a scanned page, a complex floating element, or the original document does not use a clear caption structure, it is still recommended to review key pages after export and confirm that images and captions remain correctly associated.

Conclusion

The quality of DOCX-to-Markdown conversion is not only about whether the body text is complete. It also depends on whether images, captions, and surrounding explanations can still be understood together.

If you are organizing image-heavy Word documents for a knowledge base, upload them to SimplifyAI and check whether the exported Markdown preserves image context more effectively.