Popular GitHub Repositories for Transcribe

faster_whisper GUI with PySide6

Using OpenAI's Whisper to automatically generate YouTube subtitles

Generate Subtitles & Diarize Speakers in Davinci Resolve using AI.

This project provides an API with user level access support to transcribe speech to text using a finetuned and processed Whisper ASR model.

Whisper Dart is a cross platform library for dart and flutter that allows converting audio to text / speech to text / inference from Open AI models

Transcribe and translate voice into LRC file using Whisper and LLMs (GPT, Claude, et,al). 使用whisper和LLM(GPT，Claude等)来转录、翻译你的音频为字幕文件。

Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android

The AI toolkit for speech.

Generate accurate transcripts using Apple's MLX framework

Native UI for the Whispering Tiger project - https://github.com/Sharrnah/whispering (live transcription / translation)

Speech-to-text in Obsidian using OpenAI Whisper

Transcribe is a real time transcription, conversation, Language learning platform. It provides live transcripts from microphone and speaker. It generates a suggested conversation response using OpenAI's GPT API. It will read out the responses, simulating a real live conversation in English or another language.

Record audio and save a transcription to your system's clipboard with ctranslate2 and faster-whisper.

Fast Audio/Video transcribe using Openai's Whisper and Modal, an hour audio/video file can be transcribed in ~1 minute

Talk to your second brain personal assistant using speech ?

An experimental solution to illustrate how Amazon Transcribe can be used in conjunction with Amazon IVS to deliver real-time captions for live streams.

Desktop app for recording meetings from locally running apps and transcribing and summarizing them with a local LLM

Python-based Whisper transcriber bot for Telegram

Generative AI video short-form generator using Amazon Bedrock and AWS serverless services.

A cutting-edge AI SaaS platform that enables users to create, discover, and enjoy podcasts with advanced features like text-to-audio conversion with multi-voice AI, podcast thumbnail image generation, and seamless playback. The platform is built using Next.js, TypeScript, Convex, OpenAI, Stripe, Clerk, ShadCN, and Tailwind CSS.