Compare the Top Data Labeling Apps for iPhone as of October 2026

What are Data Labeling Apps for iPhone?

Data labeling software is a tool that assists in the organization and categorization of large datasets. Data labeling tools enable data to be labeled with relevant tags depending on the purpose such as for machine learning, image annotation, or text classification. Data labeling software can also assist in categorizing input from customers so businesses can better understand their needs and preferences. The software typically comes with different features such as automated labeling, collaboration tools, and scaleable solutions to handle larger datasets. Compare and read user reviews of the best Data Labeling apps for iPhone currently available using the table below. This list is updated regularly.

  • 1
    Evercontact

    Evercontact

    One More Company

    Let Evercontact keep your address book up-to-date, magically creating new contacts and updating existing ones. More than 40% of the average address book changes within 3 months. Evercontact ensures you always have the latest contact info. Evercontact extracts contact info from the email signatures in your incoming email. Our service creates new contacts for you and also auto-updates any changes to your existing contacts. Our subscription plans allow for unlimited contact updates, multiple email accounts, centralized address books, CSV downloads and CRM integration. Your personal information belongs to you and you alone. Evercontact is GDPR compliant when it comes to user security and data privacy. Our service is available for Gmail, Outlook and Office 365.
    Starting Price: $5.00/month/user
  • 2
    Swivl

    Swivl

    Education Bot, Inc

    swivl is simplifying AI training. In general, data scientists typically spend 80% of their time on non-value-added tasks such as finding, cleaning, and annotating data. Our no-code SaaS platform helps teams outsource these data annotation tasks to a vetted network of data annotators to close the feedback loop in a cost-effective way. This involves the action of training, testing, and deploying machine learning models with an emphasis on natural language processing, audio, and generalized data categorization.
    Starting Price: $149/mo/user
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