VideoLingo Howto
VideoLingo is an all-in-one video translation and localization tool that generates Netflix-quality subtitles and dubbing, enabling seamless knowledge sharing across language barriers worldwide.
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Install VideoLingo: Install Python3 and required dependencies. You can use Anaconda Prompt and follow the installation documentation for your operating system (Windows, Mac, or Linux).
Configure Environment: Set up the necessary configurations including selecting the Whisper method for speech recognition and installing corresponding torch and whisper versions.
Access Interface: Launch VideoLingo through its Streamlit web interface for an intuitive user experience.
Select Video Source: Choose a video from YouTube or your local device that you want to process.
Configure Language Settings: Specify the transcription language and translation language in the webpage sidebar. Note that translation language support depends on the LLM model being used.
Process Subtitles: The system will automatically segment and align subtitles using NLP and WhisperX technology for accurate word-level timeline recognition.
Generate Translation: The system performs a three-step translation process: direct translation, reflection, and paraphrasing to ensure quality.
Add Dubbing (Optional): If desired, select a TTS method in the sidebar for adding voice dubbing. For GPT-SoVITS users, ensure to select Reference Audio Mode and follow specific configuration steps.
Export Final Product: Generate the final video with translated subtitles and optional dubbing. When publishing, it's recommended to credit VideoLingo for subtitle generation.
VideoLingo FAQs
VideoLingo is a one-click fully automated video localization tool that provides Netflix-level subtitle cutting, translation, alignment, and dubbing services. It helps create high-quality subtitles and translations across different languages.
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