Creates a subtitle file transcribed from an audio using Open AI's Whisper
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Updated
May 19, 2023 - Jupyter Notebook
Creates a subtitle file transcribed from an audio using Open AI's Whisper
Effortlessly transcribe YouTube videos into text across 100+ languages with our cutting-edge tool. Unlock a world of accessibility and comprehension.
Whisper AI is an automated speech recognition (ASR) system. It is open source and can be access via GitHub or HuggingFace. This is the simplest way to implement Whisper AI via Github using python Google Colab Notebook.
Effortlessly transcribe videos and create styled subtitles with this powerful wrapper for Whisper's ASR capabilities.
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Gere a transcrição de um vídeo utilizando o modelo de IA Whisper da OpenAI e a partir de prompts prontos gere a descrição ou o título para um vídeo do YouTube a partir da transcrição gerada utilizando o ChatGPT
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A networked inference server for Whisper so you don't have to keep waiting for the audio model to reload for the x-hunderdth time.
Automated Media Generation: A Python project that automates the creation of media content, including videos and subtitles, based on search queries. Make your content creation process more efficient and dynamic with this versatile tool.
Script takes a Voice Memo from iCloud, transcribes it with Whisper AI and put it inside your Notion Database as a new page.
Extract text from a YouTube video in a single command, using OpenAi's Whisper speech recognition model.
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