Transcription Of Interviews

The security of your data is the highest priority for us. Our transcription service is fully GDPR compliant and certified to ISO 27001. We use different security measures to improve the network level protection: firewalls to check incoming/outcoming traffic, HTTPS as the default protocol to communicate with the service. You can always remove any uploaded or transcribed data, and this action cannot be undone.

Voice2TextAI offers affordable pay-as-you-go pricing plans with no monthly fees. Our interview transcription software is one-hundredth of the cost of popular human transcription services: Voice2TextAI = $0.05/min, Rev.com = $1.25/min, TranscribeMe = $0.79/min, GoTranscript = $0.72/min.

We use artificial intelligence and speech recognition algorithms to automatically transcribe interviews. Our state-of-the-art speech recognition model achieves a word error rate of 3.8% (~96.2% accuracy) on the open source LibriSpeech ASR corpus. LibriSpeech is a corpus of approximately 1000 hours of English speech.

The transcription process usually takes half of the interview file length to transcribe a file completely.

Our speech to text converter software can effectively transcribe interviews for your dissertation or thesis: record high-quality interviews, upload recorded audio files to the transcription platform, and click the 'Transcribe' button to start interviews transcription. When the transcription process has finished, you can export and save transcription results.

Voice2TextAI is the fastest way to transcribe interviews. Our transcription tool for journalists provides multiple speech recognition models, and you can optimize speech to text conversion quality for different audio types such as conference calls, individual interviews, face-to-face interviews, group interviews, meetings, and others. If you specify the type of the original audio, this will allow the transcription service to process interviews using an artificial intelligence model trained from audio similar to your file.

To correctly transcribe brand names specify the relevant industry domain for your files. Voice2TextAI supports multiple domain-specific recognition models that can accurately transcribe brand names and industry-specific words. Domain-optimized models have large industry-specific ontologies to recognize brand names without mistakes.