Remove HTML Tags from Excel

How the Stripping Engine Works

The tool uses a precise parser that identifies anything enclosed in angle brackets (`<...>`) and removes it from the cell. More importantly, it smartly converts common HTML entities (like `&` or ` `) into their actual text equivalents (an ampersand and a space). It also replaces paragraph and break tags with actual line breaks, ensuring the resulting plain text remains readable and formatted correctly for human eyes.

Step-by-Step Usage

1. Upload your .xlsx or .csv file containing the HTML-heavy text.
2. Select the specific columns you want to clean.
3. Toggle whether to convert `
   ` and `

   ` tags into actual line breaks.

4. Click the 'Remove HTML' button.
5. Review the clean text in the preview pane.
6. Download your sanitized spreadsheet.

Key Benefits

• Readable Data: Turns messy code into human-readable text.
• Decodes Entities: Safely translates HTML entities (`©`, `"`) back to normal characters.
• Preserves Structure: Translates web line breaks into spreadsheet line breaks (Alt+Enter).
• Fast Processing: Cleans massive product catalogs in seconds.

Real-World Use Cases

E-commerce merchants use this tool when migrating from one platform to another, stripping old, incompatible HTML from product descriptions before uploading them to a new CMS. Content marketers use it to clean up blog post data exported from WordPress to run text-analysis or word counts. Data analysts clean web-scraped datasets prior to performing natural language processing (NLP).

Pro Tips for the Best Results

Always enable the 'Convert Line Breaks' option. If you simply delete `
` tags, the text before and after the tag will mash together into a single, unreadable word. Converting them to actual carriage returns ensures your text maintains its paragraph structure within the Excel cell. For best results, run the 'Trim Whitespace' tool afterward to clean up any residual spaces left behind by deleted tags.

Top Use Cases

• Cleaning product descriptions exported from Shopify or WordPress
• Prepping web-scraped text for Natural Language Processing
• Formatting raw CMS exports for business reports

Frequently Asked Questions