If you want to read about all the tools I use for transcribing audio all in one place, c lick here for a comprehensive article. This got the job done, and also gave me a good side-by-side comparison of the costs and time involved with each approach. It would have taken me forever to transcribe all of that myself so I clipped the audio into half-hour chunks and sent them out to various services, while transcribing some of the work at home using different methods. Six Hours of Audio Transcribed with various methodsĪs a note, recently I had 6 audio hours from a client day that we spent telling stories. This article focuses on Dragon, however, so you can click here to read about Google’s speech-to-text function, which is free. That said, when I tried Google’s speech-to-text function to see how the free alternative compares, I was surprised at how good it is.
Because I do this for a living, Dragon is my method of choice. As background, I am a professional biographer and do family history work for clients, so I have spent a ridiculous amount of time experimenting with methods for transcribing audio from oral history interviews.
That’s a topic for another day, because this is a detailed article for transcribing audio using several different methods courtesy of Dragon by Nuance. What I did not expect was that Dragon would be a game changer for my workflow in general. I have used Dragon Naturally Speaking voice recognition software for transcribing audio a lot.
Best speech recognition software for the mac for mac#
Update: Dragon for Mac is no longer supported but Dragon for PC is still alive and well.
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