Transcribe audio files into text
Generate a 2-speaker podcast from text input or documents!
Transcribe spoken words into text
Transcribe spoken words into text
Hebrew audio-to-text by ivirit-ai model
Transcribe audio to text
Transcribe audio to text
ML-powered speech recognition directly in your browser
Transcribe voice recordings into text
Upload audio to transcribe and segment
Transcribe audio to text
Transcribe audio to text using voice input
voice to text
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.
• 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.
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.