It is known fact that search engines make it simple to look through text files for specific words, but searching phrases and keywords in audio and video recordings could be difficult. Interestingly the California-based startup DeepGram is working on a tool that would make this process easier.
This popular DeepGram is a Web-based audio search tool that allows you quickly index and browse audio & video files for words. Moreover the search engine uses artificial intelligence and deep learning to enable speech recognition. It also professionally supports a beneficial feature for automatic speech-to-text transcription.
It is also enumerated that similarly to YouTube’s auto-subtitling feature, DeepGram develops text from audio, but it also makes the recording fully searchable. Once if users enter a keyword, DeepGram would actively locate all instances where your word of choice appears and would proceed to highlight precisely at what part of the audio/video it is mentioned.
For example I ran a short test on this app, where DeepGram was able to swiftly point me towards every instance where the words ‘optimism’, ‘meticulous’ and ‘film’ pop up in the video. DeepGram works with a relatively high degree of accuracy, making it simple to fast forward straight to the sections that matter most to you. Currently this famous tool is available for free and permits users to index up to 40 hours of audio/video each month. According to global app users DeepGram could certainly make an impact on a number of businesses.
The tool would be specifically beneficial to companies dealing with large amounts of audio/video data and could also search several applications in education. For sake of passionate students, for instance, could utilize DeepGram to effortlessly browse through hours of lectures for popular quotes and quality references. In fact DeepGram utilizes artificial intelligence to recognize speech, search for moments, and categorize audio and video.
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