CLI app- Give it a YouTube URL and you get a transcription with possible speaker identification and optional summary or translation, all thanks to open-source AI tooling and my lack of enough free time to watch content-sparse YouTube videos

GUI for Faster‑Whisper‑XXL transcription tool: download YouTube audio, transcribe local files, manage models, and export multiple formats with themes and auto yt‑dlp updates.

Python-based Telegram transcriber bot utilizing local Whisper models & yt-dlp

YTWS is a simple CLI tool that downloads YouTube videos and creates subtitles quickly. It uses yt-dlp for downloading and faster-whisper for transcribing, making it easy and efficient to use.

Transcribe YouTube videos for free using Python, ffmpeg and your free Google Cloud credits.

Download and transcribe YT videos

A sleek desktop app, which transcribes, and summarises YT videos and articles!

Rust CLI + Agent Skill (Codex, Claude, Pi, clawd.bot, openclaw) to transcribe audio/video (text/srt/vtt, diarization) via AssemblyAI; use yt-dlp for YouTube.

An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion. Whisper fallback — transcribes audio when subtitles are unavailable (local or OpenAI API). Works with Cursor and other MCP host

Simple setup for downloading, converting, transcribing and summarizing YT videos

Oracle: Download and transcribe YouTube videos effortlessly. Utilizes yt-dlp and Faster-Whisper. Easy installation with Conda. Enjoy streamlined video processing.

A lightweight Python GUI tool leveraging yt-dlp to download Microsoft Teams / Stream (Classic) or SharePoint-hosted video recordings using a captured videomanifest URL and exported cookies.txt. I use it in my workflow for Whisper transcribing meetings and summarizing meetings I don't have proper-download access to and no transcription was made.

VideoCraft is an open-source Python tool for seamless video processing. It enables users to download videos using yt-dlp, transcribe audio to subtitles with Whisper, translate subtitles into multiple languages, merge subtitles with videos, and encode outputs in various bitrates. Ideal for developers looking to automate and customize video workflows

YT_Transcriber is a desktop application that allows you to extract audio in MP3 format from any YouTube video, generate transcriptions of audio content using offline speech recognition models and save and manage audio files and transcriptions easily

AI-powered audio/video processing: transcription, speaker diarization, LLM refinement, translation | AI-обработка аудио/видео: транскрибация, распознавание спикеров, перевод

Транскрибация видео на YouTube

A cutting-edge AI-powered YouTube audio downloader and transcriber with an easy-to-use GUI. Uses yt-dlp for reliable YouTube audio extraction and OpenAI’s Whisper model for high-quality transcription. All offline, no GPT wrappers or external APIs required.

An innovative, free, opensource and simple YouTube video transcriber

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Simple idempotent audio transcriber using faster-whisper + yt-dlp + zsh-autoenv

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Transcribe and group the audio from YT videos

Local YouTube transcriber for macOS. Downloads audio with yt-dlp, transcribes with Apple Speech.framework — no cloud APIs.

Transcribe YT videos, summarize with AI, and chat with AI about the content.

OpenClaw skill for transcribing YouTube videos locally with yt-dlp and Whisper CLI

YouTube Audio Transcriber – A Python tool that downloads audio from YouTube videos using yt_dlp and transcribes it into text with OpenAI’s whisper speech recognition model.

A simple python script to transcribe anything that yt-dlp can pull with whisper

Download a YouTube video's audio as MP3 with yt-dlp and transcribe it using Parakeet-MLX on Apple Silicon.

YouTube Channel Transcriber — A local tool that downloads audio from every video on a YouTube channel using yt-dlp, transcribes it with Whisper (faster-whisper), and outputs clean, metadata-rich .txt files for AI chatbots, vector stores, or searchable documentation — no API cost.

YT transcriber projects aim to convert YouTube video audio into text transcripts. This can be done through APIs, web apps, or browser extensions. Some projects leverage AI for summarizing the transcripts, making video content more accessible and searchable.