Record audio and save a transcription to your system's clipboard with ctranslate2 and faster-whisper.
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Updated
Oct 16, 2024 - Python
Record audio and save a transcription to your system's clipboard with ctranslate2 and faster-whisper.
A desktop application that transcribes audio from files, microphone input or YouTube videos with the option to translate the content and create subtitles.
Python-based Whisper transcriber bot for Telegram
Uses the powerful WhisperS2T and Ctranslate2 libraries to batch transcribe multiple files
Web application that transcribes YouTube videos using OpenAI's Whisper model. Users input a YouTube URL; the app downloads the audio, performs transcription, and displays results in real-time. Built with Flask, yt-dlp, and the Whisper library, it offers a simple and efficient interface for audio-to-text conversion from YouTube content.
Summarize Youtube Videos and Generate Timestamps Efficiently using LLM [Google Gemini Pro, OpenAI ChatGPT]
📼 A streamlit web interface designed to extract words from video/audio files into text • Python, FFmpeg, Whisper, YT-DLP
A streamlined CLI tool combining `yt-dlp` and `whisperx` (or `openai-whisper`) for quick and efficient audio transcription from various video platforms.
PyScribe is a command-line tool to transcribe audio files. It uses `ffmpeg` for audio conversion and `pywhisper` for transcription.
Automatically subtitle any video spoken in any language to a language of your choice using AI.
Python script that transcribes file using assemblyai api
zoom transcriber -now create scripts of your recorded zoom meetings
Wrapper of well-known transcribers that transform text into phoneme codes
Simple audio transcription, recording, and voice command package using the Google API.
speechRecognitionTranscriber: Implementation of video / audio to text transcriber using speech recognition with the Google Speech API.
Command-line tool for extracting RuneScape 3 data by capturing and processing network packets.
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.
An audio analyzer in flask using google speech recognition api that transcribes an audio file into text.
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