Transcribe audio and video into text.

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  • Paid
  • Free Trial
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Description

Upload: Upload audio or video files. AI transcription software supports various file formats and transcribes from speech to text in any language.

Select domain: Select industry domain and audio type from predefined categories to improve the recognition accuracy of domain-specific words.

Transcribe: Our speech transcription engine uses state-of-the-art deep neural network models to convert from audio to text with close to human accuracy.

Edit & Export: Search, modify and verify audio transcriptions using interactive editing tools. Export your content in different formats.

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Questions & Answers

How do I convert audio files into text files?

Log in to your account and upload audio files. After uploading process finishes, select a transcription language, industry domain, audio type and click the 'Transcribe' button to start transcribing.

Oct. 7, 2023


Is my data secure with SpeechText.AI?

SpeechText.AI is fully GDPR compliant. All our physical servers are hosted in Europe (France) and we encrypt all your data sent between you and the service. SpeechText.AI is fully automated, hence your data is confidential and the process has no place for human-factor and other risks that manual transcription has. You can delete transcription results and uploaded files from the user dashboard at any time.

Oct. 7, 2023


How to transcribe MP3 files to DOCX?

Upload MP3 files and click the 'Transcribe' button to start MP3 files analysis. When the transcription process has finished, tap on the 'Download' icon and save the transcription file as 'Word Document' type.

Oct. 7, 2023


How can SpeechText.AI improve the quality of speech recognition?

To improve transcription results specify the relevant industry domain for your files. SpeechText.AI enables users to convert audio to text by applying powerful domain-optimized machine learning models and can improve the accuracy of speech recognition for industries such as finance, healthcare, legal, HR, and others. Domain-optimized models were trained on domain-specific language data to better understand domain-specific terminology.

Oct. 7, 2023