🦸🏻♂️🎺 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.
Transcribe Audio to Text with node.js using the Whisper model from OpenAI.
📒 A proof-of-concept app that transcribes lecture recordings into text and generates structured academic notes using a local LLM
All NLP related courses on DataCamp
Generate a blog article and tweets from your Youtube videos.
Dynamic dashboard with speech-to-text conversion feature for transcribing audios, and video files.
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.
📼 A streamlit web interface designed to extract words from video/audio files into text • Python, FFmpeg, Whisper, YT-DLP
Transcrição de Áudio WAV para Texto
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.
Offline-friendly backend POC to transcribe YouTube videos and chat with video content using Whisper (no cloud required) and local LLMs via Ollama like Mistral or LLaMA2. Built with Flask and PostgreSQL, fully open source with Swagger APIs. Easily connect any frontend.
Upload an audio file, get it transcribed, and interact with the transcript using a Q&A chatbot.
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