How to Turn Speech into Text Document Free with VoiceBase

VoiceBase Speech to Text Doc App

Last time when I interviewed our guest Chris Pirillo, I needed an app that could convert an audio file with his speech into a text document. Frankly speaking, I wanted to save my time instead of boring typing each word that he had pronounced. Suddenly, the savior sprang up; it’s a free web service named VoiceBase that converts audio files (in MP3, WMA or M4A formats) into text docs automatically.

The quality of machine audio transcript is high and mostly depends on original file sound quality. For instance, if a person speaks clearly, then the text is close to manually written. If an interviewer mumbles or lisps, then you’ll have to review the transcript or hire someone for text checkup. Fortunately, you can order human transcript right in your VoiceBase account. Moreover, you can record an audio track and turn it into text!


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Let’s see how you can use all VoiceBase powerful features.

How to Transcript Audio into Text Automatically

1. Create a free VoiceBase account;
2. Click “Upload audio” button on the left;

Add audio files to VoiceBase
3. Add an audio file of the supported format or record an audio track. Tip: use Freemake Free Audio Converter to make an audio file of the supported format by VoiceBase.
4. Your file will be processed and you’ll be notified by email when it’s ready. For example, I’ve added a 10 minute audio interview in M4A format and it took about 15 minutes to convert it into a text file.
5. When the text file is done, go to “My uploads” tab in VoiceBase account;

My uploads in VoiceBase account
6. Click on the name of your file;
7. Check the box “Show Raw Machine Transcript” on the right of your audio file.

Audio Files with Speech to Text Doc Automatically in VoiceBase
8. Copy the transcript and save it as text document.

VoiceBase is a free and fast online audio to text converter. Needless to say, it is suitable for everyone no matter what you need: an automatic or human speech to document conversion.

Try VoiceBase too!

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