Split an audiobook into chapters based on detected chapter heading via `whisper.cpp` AI model.
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Updated
Mar 21, 2025 - Python
Split an audiobook into chapters based on detected chapter heading via `whisper.cpp` AI model.
gA easy to install/use speach recognition using a webUI with Gradio and faster wisper models (guillaumekln/faster-whisper-large-v2 Is the default)
A professional RESTful API system that converts audio files to text using OpenAI Whisper.
transcribing english language video files using OpenAI wisper and argos translate offline and adding suntitile to the output .mkv file
A powerful tool for auto-generating multilingual subtitles. Supports Whisper-based transcription and translation. Customizes caption style, layout, and RTL languages. Works with YouTube links or local video files in a full pipeline.
Turn any audio file into a clean, timestamped transcript — fully offline using OpenAI Whisper. No API key required.
This project focuses on enhancing video summarization by integrating both textual and visual information.
Generate accurate, meaningful chapter markers, titles, and descriptions.
Add a description, image, and links to the wisper topic page so that developers can more easily learn about it.
To associate your repository with the wisper topic, visit your repo's landing page and select "manage topics."