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How can I scrape embedded data from audio or video content?
Transcription APIs, like Google Speech-to-Text, are effective for converting audio to text but can be costly for long audio files.
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7 Replies
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I use the open-source tool pydub to split longer audio into smaller clips, which can then be transcribed more easily.
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YouTube offers closed captions (CC) on many videos, which can be downloaded using tools like youtube-dl for easier text extraction.
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Audio fingerprinting libraries, like ACRCloud, can identify background music or sounds, making it easier to categorize media.
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Extracting metadata from audio and video files (e.g., title, artist) is another way to gather relevant data without transcription.
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If subtitles are available, they often have embedded timestamps, allowing me to analyze dialogue alongside video content.
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Spectrogram analysis can reveal patterns in audio for specific tasks, though it requires more advanced machine learning techniques.
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- For video data, frame extraction at specific intervals allows me to capture key visual elements without processing every frame.
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