AI tools can automatically detect and remove filler words—such as "um," "like," "you know," and "uh"—from video content using speech recognition and natural language processing algorithms. These tools analyze the audio track, identify non-essential verbal pauses, and seamlessly edit them out without affecting the flow or meaning of the speaker’s message. This improves the user experience by making the video more concise, professional, and easier to follow, reducing cognitive load and keeping viewers more engaged, especially in educational or instructional contexts where clarity and pacing are crucial.