Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.
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Updated
Dec 10, 2024
Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.
A desktop application that transcribes audio from files, microphone input or YouTube videos with the option to translate the content and create subtitles.
Record audio and save a transcription to your system's clipboard with ctranslate2 and faster-whisper.
Summarize Youtube Videos and Generate Timestamps Efficiently using LLM [Google Gemini Pro, OpenAI ChatGPT]
Automatically subtitle any video spoken in any language to a language of your choice using AI.
Transcribes and summarizes speech or audio
how to use the Google Cloud Speech API to transcribe audio/video files.
Python-based Whisper transcriber bot for Telegram
Uses the powerful WhisperS2T and Ctranslate2 libraries to batch transcribe multiple files
SoundTranscriber can be used to generate automatic transcription / automatic subtitles for audio/video files through a friendly graphical user interface.
This project is an AI-based transcription tool for the Albanian language. The tool is designed to automatically transcribe Albanian speech to text using Python.
Wrapper of well-known transcribers that transform text into phoneme codes
Video URL transcriber and translator using AI. Download from Youtube and translate automatically by adding subtitles to the video
Video transcriber and translator using Amazon Translate, Transcribe and Polly
本地字幕生成与翻译,支持显卡加速
A compact (offline) GUI media transcriber that enables you to search for local content based on its spoken words.
Convert audio speech to text
Automatic transcriber made with the Nvidia NeMo AI toolkit. Used to transcribe speech to text in real-time from any source. Requires CUDA capable GPU to run on the local machine, if setup using virtual audio cables can transcribe the audio that is being played in real-time without any other requirements.
Command-line tool for extracting RuneScape 3 data by capturing and processing network packets.
Add a description, image, and links to the transcriber topic page so that developers can more easily learn about it.
To associate your repository with the transcriber topic, visit your repo's landing page and select "manage topics."