A Gradio app that transcribes YouTube videos using audio extraction and OpenAI’s Whisper model.

A desktop application that transcribes audio from files, microphone input or YouTube videos with the option to translate the content and create subtitles.

AI-powered YouTube video dubbing pipeline. Automatically transcribes (Whisper), translates (Google), and generates neural dubbing (Edge-TTS) with smart audio-video synchronization and background music preservation.

This repository contains a Python script that allows users to download the audio from a YouTube video, transcribe it into text, detect the language and save the transcription in txt file automatically.

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.

A sophisticated Node.js application that analyzes YouTube videos for legal compliance. It transcribes the audio content of the videos using the Deepgram API and then compares it against predefined legal rules using the GPT-4 language model.

QuickSeek is a chrome extension that allows you to easily search and navigate through a YouTube video, you can quickly find and watch only parts of the video that contain words you are looking for. The Chrome extension uses Amazon Transcribe to make the audio searchable and Amazon Comprehend to perform sentiment analysis on the transcript.

A simple CLI to transcribe Youtube videos or local audio/video files and produce LLM-cleaned transcripts for analysis, reading, or subtitles.

In this notebook, I implemented a script to transcribe YouTube videos (and audio files in general) using Google's speech-to-text API.

About This repository contains a Python script that allows users to download the audio from a YouTube video, transcribe it into text, detect the language and save the transcription in txt file.

Using Python APIs and AI to download YouTube videos, convert to mp3, transcribe audio

An AI tools which helps to analyze any YouTube video, give the sentiment of the video and suggest description and topics related the content. Lastly, It extract the subtitles from the video by understanding the audio then transcribe it in any language with timestamps and also embed the subtitles into the video

This project was born out of my fiancé’s frustration at not being able to search her podcasts by text. Users upload any video, audio file or paste in a youtube link and the app will transcribe it for them, providing a clickable transcript.

A local, extensible video automation stack with n8n, Whisper (speech-to-text), and Postgres—all powered by Docker Compose. Transcribe audio/video, automate workflows, and keep your data private. Learn more & connect: https://www.youtube.com/@jaypetersdotdev

This Python script offers a convenient and automated way to transcribe audio from YouTube videos and shorts utilizing OpenAI's Local Whisper Model

TubeTutor is a Flask-based app that converts YouTube lectures into concise summaries. It downloads audio, transcribes it to text, and uses AI to highlight key points, helping users quickly grasp long lectures. Ideal for students and professionals to save time and boost learning efficiency.

Transcribe audio from and Youtube video

YouTube Transcript API — Extract, transcribe, and translate YouTube videos at scale. Supports captions, audio transcription (ASR), batch processing, and 100+ languages. https://youtubetranscript.dev

This repository contains Python scripts and a local Flask web application for transcribing YouTube videos using various methods. It includes functionalities to retrieve video transcripts using the YouTube Data API, download audio from YouTube videos, and convert audio to text using speech recognition.

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

Download all videos from a YouTube channel as audio only (no video), then transcribe them to text locally with OpenAI Whisper. The text is ready for Claude, NotebookLM, or any text-based tool.

Youtube-Audio-Transcriber/Summarizer is a Python script that extracts audio from YouTube videos, transcribes it using OpenAI's Whisper ASR API, and summarizes the content with OpenAI's GPT-3 API, providing concise insights from video content for quick understanding and analysis.

Youtube Audio transcription with WhisperAi , The script downloads audio from a YouTube video and transcribes them into text.

Transcribrr is a python desktop gui application that uses transcribes audio/video files, youtube videos, or recordings made in-app and summarizes or formats the output using a variety of preset prompts using OpenAI's GPT models.

Automated YouTube transcription service using the LemonFox API. Includes a one-off script for testing and a production setup with PostgreSQL. The service listens for new video entries, extracts audio, transcribes it via LemonFox, and stores the results in the database.

A Streamlit-based web application that transcribes audio files using OpenAI's Whisper API. You can either upload an MP3 file or input a YouTube URL to convert video audio into text within seconds.

This jupyter notebook project empowers you to seamlessly download YouTube videos, extract their audio tracks, and transcribe the speech content using OpenAI's powerful Whisper model.

This project provides scripts to transcribe podcasts from audio files or YouTube videos and convert PDFs to Markdown format using the Nougat model.

Beautiful web application for transcribing audio files and YouTube videos using the Whisper Small model.