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Transcribe podcast audio to text
Candle Whisper

Candle Whisper

Transcribe audio files into text

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What is Candle Whisper ?

Candle Whisper is an AI-powered tool designed to transcribe podcast audio into text with high accuracy and efficiency. It leverages advanced speech recognition technology to convert spoken content into readable formats, making it ideal for podcasters, content creators, and researchers who need to work with audio data.

Features

• High Accuracy: Delivers precise transcription of audio content, capturing nuances and context.
• Multi-Language Support: Transcribes audio in multiple languages, catering to a global audience.
• Timestamp Generation: Provides timestamps for each transcribed segment, enabling easy reference.
• Customizable Formatting: Allows users to adjust formatting to suit their needs, such as adding speaker labels or adjusting punctuation.
• Export Options: Supports exports in various formats, including TXT, DOCX, and PDF, for seamless integration into workflows.

How to use Candle Whisper ?

  1. Upload Audio File: Select and upload your podcast audio file to Candle Whisper.
  2. Choose Settings: Customize transcription settings, such as language, speaker identification, and formatting options.
  3. Start Transcription: Initiate the transcription process and wait for the AI to convert the audio into text.
  4. Review & Edit: Review the transcribed text, make necessary edits, and add any additional annotations.
  5. Export Results: Download the final transcription in your preferred format for further use.

Frequently Asked Questions

What file formats does Candle Whisper support?
Candle Whisper supports popular audio formats, including MP3, WAV, AAC, and M4A.

Can I use Candle Whisper for free?
Candle Whisper offers a basic free tier with limited features. For advanced functionality, users can upgrade to a paid subscription.

How long does the transcription process take?
The transcription time depends on the length of the audio file and the complexity of the content. Typically, it processes 1 hour of audio in 10-15 minutes.

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