• Webinar On-demand

    How to Build Multimodal Workflows to Improve Content Moderation

    Use OCR and NLP to solve image and text moderation use cases.

  • Learn how to build multimodal learning workflows using computer vision and NLP.

    AI is essential to successful content moderation programs. With image recognition and visual text recognition technologies, modern enterprises are able to identify and manage unsuitable user generated content at scale. Machine learning helps reduce unsuitable user generated content from slipping through the cracks, protecting both your business and your customers.

    A picture is worth a thousand words, but what about a picture that has words in it? Computer vision models alone cannot provide the information you need without analyzing the text within those images. By combining computer vision to classify images, OCR to extract image text, and NLP for text classification, businesses can reduce the risk of posting toxic, offensive and suggestive content. And this is where AI can protect your customers and user community and ensure a successful content moderation program.

    In this webinar, learn how to:

    Catch more offensive and inappropriate images from slipping through the moderation review process.

    Use AI to speed moderation 20x faster than human moderators.

    Use OCR to extract text from images in multiple languages.

    Use NLP text classification to uncover the meaning of image text.

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