State-of-the-art AI models trained on diverse video content for accurate lip reading results. Precise text output with support for multiple languages and accents. Simple upload process and intuitive interface for quick results. Our advanced AI technology processes lip movements to accurately transcribe speech, making video content more accessible.

Automated Lip Reading With AI! Upload your videos and get accurate transcripts in minutes!

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AI-Powered Video Lip Reading LipReadPro is a Lip Movement Video to Text featured on Dang.ai. Learn more about LipReadPro's AI tool. New. Featured. Top. ... Create professional logos effortlessly with Logomate, an AI-powered tool that generates customizable logo. SubtitleGen. Transcription, Subtitles & Translation all-in-one platform

May 7, 2023 · Aids deaf and disabled people to read audio with the power of AI and ML. Deep neural network, Tensorflow data pipelines, and Automatic Speech Recognition using CTC Keras. Communication for deaf individuals occurs through lipreading.

Sep 15, 2024 · Symphonic Labs has tested its lip reading AI on Taylor Swift while Newsweek tested it on footage of Kamala Harris. We also tested it on some silent film era clips to see how it fared with...

Lipreading is an advanced neural network model designed for accurate lip reading by incorporating lip landmark coordinates as a supplementary input to the traditional image sequence input.

Nov 24, 2016 · Researchers from Google’s AI division DeepMind and the University of Oxford have used artificial intelligence to create the most accurate lip-reading software ever. Using thousands of hours...

Nov 20, 2024 · A lip reading web app that uses AI to analyze lip movements in videos and generate text transcripts. Designed for processing videos without needing sound, it works best with clear facial visibility.

LipDub AI modifies on-screen performances to perfectly match target audio tracks. It begins by analyzing who’s on screen and when they speak, intelligently grouping and labeling identities across all uploaded training footage.