Backend for transcription web application. Using fastapi to process all the functions of handling speech to text
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Updated
Jan 12, 2022 - Python
Backend for transcription web application. Using fastapi to process all the functions of handling speech to text
Your Call Center Superpower
Docker images for the whisper audio transcription library and variants.
Tools to caption videos and realign existing captions with timestamps for user display.
Telegram bot that transcribes voice messages
Some python code to transcribe DNA to mRNA and translate mRNA to amino acids.
Whisper Automatic Speech Recognition (ASR) Model
Video transcription, speaker diarization, and face detection in Python.
Chatbot to ask questions about a youtube video
A playground to use whisper python package for transcription. A dev container is used to set up all that is needed included whisper, pyannote, ffmpeg and pydub.
This is a small project with the goal of making an AI based program able to pass speech into text and summarize it, extracting all the important information needed to quickly understand what the content is about. This project uses only open source and local AI tools (Vosk and Ollama). This way, personal or confidential videos can be summarized
A simple python script that automatically downloads and transcribes audio from YouTube and other video URLs using yt-dlp and Faster Whisper.
Aplicação em Python com o padrão MVC para a tarefa da semana XIII da disciplina de Técnicas Avançadas de Projeto de Software do curso de Informática Biomédica da UFCSPA.
A transcription editor that saves transcription files natively in tokenized JSON format for use in the ITSEE Collation Editor. It is an alternative to the TEI XML standard.
Live transcription and transcription of audio files using whisper models.
Real-time audio-to-text transcription with faster-whisper as backend and can be run on locally or build on a remote server.
Simple YouTube transcriptor | Простой скрипт для получение текста с YouTube видео
Use microphone input to talk to ChatGPT
Real-time Internal Audio Translate and Transcriber that uses Whisper model
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