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WhisperTranscribe

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6.7K
#45
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WhisperTranscribe is a transcription service that runs locally on your computer and uses OpenAI Whisper and GPT-4 to generate content.

FEATURES

  • ⏳ Free 80-Minute Transcription: You can transcribe 80 minutes in the app for free. After that, it’s a paid application.
  • 💬 Local Application: WhisperTranscribe runs locally on your computer.
  • 🔄 AI-Powered Transcriptions: The transcriptions are created with the help of OpenAI Whisper and generated with GPT-4.
  • 🎙️ Media Compatibility: You can upload MP3, MP4, M4A, WebM, and all future media types. You also have the ability to record right in the app.
  • 🌍 Language Support: WhisperTranscribe supports over 50 languages, allowing you to create content in multiple languages and improve transcription accuracy by setting your default language.

USE CASES

  • 💻🎤 LOCAL TRANSCRIPTION: WhisperTranscribe runs locally on your computer, allowing for secure and private transcription of audio files.
  • 🤖📝 GPT-4 CONTENT GENERATION: The transcriptions are created with the help of OpenAI Whisper and we generate content with GPT-4, ensuring high-quality and accurate transcriptions.
  • 🔒👥 SECURE AND PRIVATE: Since WhisperTranscribe runs locally on your computer, your audio files and transcriptions are kept secure and private.
  • 📈💰 COST-EFFECTIVE: WhisperTranscribe is a cost-effective solution for transcription needs, as it does not require expensive cloud-based services.
  • 🌎🗣️ MULTILINGUAL SUPPORT: WhisperTranscribe supports multiple languages, making it a versatile tool for transcription needs in different parts of the world.

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FAQ

WhisperTranscribe runs locally on your computer and uses the help of OpenAI Whisper to create transcriptions. It generates content using GPT-4.
Yes, there is a file limit for transcription. OpenAI Whisper has a file limit of 25 MB. However, some users have reported issues with files up to 26 MB, which may be due to a bug in the Zapier implementation of Whisper or the Whisper API.
If the transcription gets stuck or skips lines, you can try setting the parameter condition_on_previous_text to False. This will only transcribe the first 30 seconds of the waveform you give it. To overcome this limitation, you can break the file into 30-second chunks and feed each chunk separately for transcription, then stitch all the transcriptions together to get the final overall transcription.

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