Summary:

You can write simple instructions in AI spreadsheet header:

Extract phone numbers from #A

In 1 second, all your data is processed!

Explanation:

To extract phone numbers from mixed text columns using AI, you can follow these steps:

1. Use a tool or software that utilizes AI technology to analyze and extract phone numbers from text data. One popular tool for this task is a natural language processing (NLP) model.
2. Input the mixed text columns containing the phone numbers you want to extract into the AI tool. Make sure the text is in a format that the tool can understand, such as a CSV file or a text document.
3. Specify the criteria for the AI tool to identify phone numbers within the text. This may include setting parameters for the format of phone numbers (e.g. xxx-xxx-xxxx or (xxx) xxx-xxxx) or any specific patterns that the tool should look for.
4. Run the AI tool to analyze the text data and extract the phone numbers based on the criteria you provided. The tool will use its machine learning algorithms to identify and extract phone numbers from the mixed text columns.
5. Review the extracted phone numbers to ensure accuracy and completeness. You may need to manually verify and correct any errors or missing numbers that the AI tool may have overlooked.

By following these steps, you can effectively use AI to extract phone numbers from mixed text columns, saving time and effort compared to manual extraction methods.

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