Most AI transcription tools are much faster than manual transcription and can transcribe audio and video content in seconds. Assuming a AI speech to text service can transcribe one hour of audio in less than 10 minutes, they are on the order of six times faster than an average human transcriber. It might not seem like much, but this speed is a game changer in industries like media (where deadlines are in millisecond accuracy) and real-time content generationutters.
But AI transcription is built around efficiency and that goes a long way in helping both businesses as well as individuals to take care of their volumetric data without any delays. Tools such as Otter. By transcribing multiple files at once, ai and DupDub can help speed delivery times for projects that require dozens or even hundreds of hours audio to be processed. A company that has to transcribe 100 hours of content, for example, could use AI to do it in a day or less — as opposed to the multiple weeks human transcriptionists would have required for the same task.
AI transcription also has advantages when it comes to speed, as well as handling complex audio formats (e.g., multiple speakers or noisy environments) with higher levels of accuracy. Today's technology gets accuracy to around 85% in a few minutes, which represents significant gains from previous AI issues with semantics and speaker separation. For instance, companies like DupDub have incorporated machine learning algorithms in their tools which are designed to get better as you use them providing a faster and accurate transcription even on difficult audio conditions.
But speedwise, human transcription generally averages around 3-4 hours for every hour of audio (give or take depending on the complexity). With AI Transcription, the same file gets processed in near real time (or real time depending on the tool). The speed matters; it can make a difference for industries such as journalism where interviews, and press conferences need to be transcribed in real-time. Through AI transcription, journalists are able to publish their stories with very little delay and keep up with the pace of the news cycle.
On top of this, AI transcription is both speedy and scalable in contrast. It is able to process hundreds — and even thousands — of hours of audio content in parallel, which makes it uniquely designed for companies that are handling huge video or audio data. As an example, each of the thousands of hours might be lecture recordings that require transcription for an online education platform to make the content useful for students. Even human transcribers cannot work at that scale with such speeds, but AI tools are fully capable.
AsTech entrepreneur Elon Musk said, “AI will allow people to reach unprecedented productivity levels,” andnever is this more true than with transcription. Since AI transcription tools work at a lightning pace, it leaves professionals with more time that can be utilised in other more strategic activities which makes AI an important player for industries where content generation needs to be quick.
For instance, ai transcription services on platforms like DupDub allow you to transcribe your recordings and have the results in a matter of minutes. Catered towards businesses and individuals, real-time transcript allows for both audio or video speech-to-text transcriptions, making AI transcription one of the most efficient ways to convert spoken word into written text.