audiototext

There are 12 repositories under audiototext topic.

  • tornikegomareli/Talkify

    🦸🏻‍♂️🎺 Talkify is a comprehensive, cross-platform Swift library for adding advanced speech features to your applications. It efficiently manages voice-to-text and text-to-speech capabilities using the power of AVFoundation and Speech frameworks.

    Language:Swift10110

  • mhcrocky/dj-transcribe

    Django audio to text project.

    Language:CSS5001

  • robinvriens/openai-whisper

    Transcribe Audio to Text with node.js using the Whisper model from OpenAI.

    Language:JavaScript4106

  • Rawan-Kh/NLP_Datacamp

    All NLP related courses on DataCamp

    Language:Python3100

  • mouniraziz/Vid2Post

    Generate a blog article and tweets from your Youtube videos.

    Language:Python1100

  • Nate-Soul/ABCFirm

    Dynamic dashboard with speech-to-text conversion feature for transcribing audios, and video files.

    Language:JavaScript1100

  • sameemul-haque/TranscribeTool

    📼 A streamlit web interface designed to extract words from video/audio files into text • Python, FFmpeg, Whisper, YT-DLP

    Language:Python1101

  • VassoD/audio_to_text

    speechmatics test

    Language:Python1100

  • Yash-hit1/VivaMind_Assistant

    VivaMind Assistant redefines personal AI, seamlessly integrating advanced natural language processing and machine learning to enhance user interactions. With state-of-the-art speech recognition, sentiment analysis, and a learning mechanism, VivaMind Assistant delivers a tailored and emotionally intelligent experience.

    Language:Python1200

  • samanvitha-bayaneni/Audio-Transcription-and-Q-A-Chatbot-with-AssemblyAI-Flask

    Upload an audio file, get it transcribed, and interact with the transcript using a Q&A chatbot.

    Language:HTML0100

  • LeticiaBHB/wavparatxt

    Transcrição de Áudio WAV para Texto

    Language:Python

  • spm999/Audio-Transcriber

    Audio transcriber using deepgram. It allows users to record audio, upload it, and retrieve transcriptions for the recordings. It is built using React for the frontend and Node.js/Express for the backend, with MongoDB for storage.

    Language:JavaScript10