Transcription software automatically converts audio from interviews, conversations, dictations, video footage, and more into text. These tools leverage technologies like natural language processing (NLP) and machine learning for transcription, with some employing a human-in-the-loop (HITL) model to enhance accuracy. Unlike voice recognition software, which provides APIs or web services for integration into websites or other applications, transcription software offers a user-friendly standalone platform for speech-to-text (STT) conversion. Users can upload audio files to these platforms for transcription or dictate speech directly into the software. Some tools also support live transcription for video footage. Additional features may include API integration, collaborative editing, and analytics reporting on transcription performance and accuracy.
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