If you an aspiring YouTube blogger, you might notice that videos with transcribed audio and captions are getting more views. The reason is simple. Youtube, or any other video hosting service, uses the machine learning algorithm that analyzes meta data in order to arrive to conclusion whether a video is helpful to a viewer or not. Such places are normally video titles, descriptions and tags. However, captions are also an important piece of information as it shows Youtube what is exactly is being said during the video. If they video’s title says one thing, but the actual video is about the other, this video will have a low retention rate; and, therefore, Youtube will pessimize it. In addition, the videos with multiple language subtitles could have a broader population reach and would be viewed in more countries where these languages are spoken.
So, we have developed GGLOT to help the fellow youtubers and journalists to reach more people in shorter amount of time with fewer resources possible thanks to our low rates!
Online video to text converter GGLOT transcribes audio files into text so you can edit it, translate into multiple languages and upload to back to your YouTube video to reach more users and views. Our service uses the cutting edge speech recognition software powered by artificial intelligence. Thus, it is low cost and high speed turnaround.
Manual video transcription is a labor intensive process. It takes up to ten times longer to transcribe it with humans than with machines. GGLOT uses progressive AI tools to drastically cut the transcription time and produce transcribed videos in half the time it takes to play a video. For example, if your youtube video or a podcast was 60 minutes long, it would take approximetely 30 minutes to transcribe it and receive a text transcript to your online dashboard in less than an hour.
Human transcriber users ten times more time to transcribe a video, but a machine uses twice less time. Human transcriptionist recognizes up to 99% of the source audio/video file, while automatic transcription software could hoover around 80-90% depending on the number of factors: background noise, number of speakers, loudness and clarify of their voices (some microphones could be tricky!) and music. These factors could greatly affect the level of speech recognition. Sometimes there is a technical jargon: medical terminology, legal terminology, acronyms or defective pronunciation. This could also affect the level of quality transcription.
Gglot accepts a variety of file formats: mp4, m4v, mov and so on. If you are using an obscure video format, try to first convert it to .mp4 and then upload it to us. Gglot accepts pretty large video files up to 1gb in size. Please note, the bigger is your video file, the longer it would take to process it, strip down the audio track and transcribe to text.