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Transcribe podcast audio to text
NB-Whisper Demo

NB-Whisper Demo

Transcribe audio to text

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What is NB-Whisper Demo ?

NB-Whisper Demo is an AI-powered tool designed to transcribe audio files, particularly podcast recordings, into text format. It leverages advanced speech recognition technology to provide accurate and efficient transcription services, making it easier to convert spoken content into readable text for various purposes such as analysis, editing, or sharing.

Features

• Automatic Transcription: Converts audio files into text with minimal user input required.
• Support for Podcast Audio: Optimized for transcribing long-form audio content, including interviews and discussions.
• High Accuracy: Utilizes cutting-edge AI models to ensure precise transcription, even with diverse accents and speaking styles.
• Export Options: allows users to download transcriptions in text formats for further use.
• User-Friendly Interface: Designed for ease of use, with clear controls and real-time transcription feedback.
• Multi-Language Support: Can transcribe audio in multiple languages, catering to a global audience.

How to use NB-Whisper Demo ?

  1. Upload Audio File: Select and upload your podcast audio file to the platform.
  2. Initiate Transcription: Click the "Transcribe" button to start the conversion process.
  3. Review Transcription: Once the transcription is complete, review the generated text for accuracy.
  4. Edit or Export: Make necessary edits or download the transcription in your preferred format.
  5. Share or Save: Share the transcription directly or save it for future reference.

Frequently Asked Questions

What types of audio files does NB-Whisper Demo support?
NB-Whisper Demo supports common audio formats such as MP3, WAV, and AAC, making it versatile for various podcast sources.

How long does the transcription process take?
The transcription time depends on the length of the audio file and internet connection speed. Typically, it processes files quickly, even for longer recordings.

Can I edit the transcription results?
Yes, users can edit the transcription results directly within the platform or download the text for editing in external software like Word or Google Docs.

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