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Otter AI typically takes about 5-6 minutes to transcribe a 15-minute audio file, equating to roughly 20-24 minutes for an hour-long recording. This time frame can vary based on several factors, including the length of the recording, the number of speakers involved, and the current demand on Otter AI's services.
Key Factors Influencing Otter AI Transcription Time
Length of Audio: The duration of the audio file directly impacts the transcription time. Longer recordings will naturally take more time to process.
Number of Speakers: Transcription becomes more complex with multiple speakers, which may increase processing time.
Service Traffic: During peak times, when Otter AI's services are in high demand, additional processing time might be required.
Real-Time Otter.AI Transcription
For live scenarios like meetings, Otter AI offers real-time transcription. This means that as the conversation occurs, the tool transcribes the content simultaneously, providing immediate access to the text.
The Role of OtterPilot in Otter AI
OtterPilot is a feature that enables Otter AI to join and transcribe Zoom, Google Meet, or Microsoft Teams meetings automatically in real-time. This is particularly useful for users who need instant transcription during online meetings.
Otter AI Transcription Accuracy
While speed is a significant aspect of Otter AI, it's also essential to consider the accuracy of the transcription. Factors such as background noise, echo, and unclear speech can affect the quality of the transcription. Users have the option to build a custom vocabulary to enhance the accuracy for specific terms or jargon relevant to their discussions. See our findings on Transcription Accuracy in our full Otter AI review.
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