Popular GitHub Repositories for Timestamps

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

Verbatim Automatic Speech Recognition with improved word-level timestamps and filler detection

YT Navigator: AI-powered YouTube content explorer that lets you search and chat with channel videos using AI agents. Extract insights from hours of content in seconds with semantic search and precise timestamps.

Dockerfile for WhisperX: Automatic Speech Recognition with Word-Level Timestamps and Speaker Diarization (Dockerfile, CI image build and test)

Synchronize Whisper's timestamps over an existing accurate transcription

PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (NeurIPS 2024)

Summarize Youtube Videos and Generate Timestamps Efficiently using LLM [Google Gemini Pro, OpenAI ChatGPT]

Transcribe audio and video files with speaker diarization and logically grouped timestamps

HeadTTS：一款免费的JavaScript文本转语音工具，支持时间戳和可见音素。

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

? SmartSRT is a command-line tool for generating accurate subtitles with per-word timestamps. It uses WhisperAI for speech transcription, NVIDIA NeMo for diarization, and OpenCV for face recognition. The program is good at creating high accuracy subtitles. ??⚙️

NoteFlix is a smart video library that transforms the way users engage with YouTube content. It lets users curate playlists, take detailed notes with timestamps, summarize videos using AI, and discover related content—all in one streamlined platform for better learning and organization.

Instagram Reels Transcription App is a web-based application built using Streamlit that allows users to transcribe Instagram Reels into text using the AssemblyAI API. The app downloads Instagram Reels, converts them into audio, and transcribes the audio with speaker labels and timestamps.

Generate YouTube timestamps and subtitles from a video file with OpenAI Whisper and GPT-4

Query on Videos from YT by providing the URL Drop a YouTube URL, and I’ll handle the rest: - QA on the video - Timestamps & frames for answers - Precise answers delivered

AI-powered automation system for consultants to track meeting hours effortlessly. Record a voice message after each meeting, and let the system automatically extract client information, timestamps, and meeting details into Google Sheets. Features OpenAI Whisper for speech-to-text, GPT for intelligent data extraction, and n8n workflow automation.

? Complete offline audio transcription system with speaker diarization using OpenAI Whisper and PyAnnote. Features automatic audio cleaning, precise timestamps, multiple output formats (JSON/TXT/Markdown), and support for 20+ audio formats. No external APIs required - works entirely offline.

This Jupyter notebook is an interactive tool for processing natural language text. It segments text into sentences, performs word tokenization, counts word frequencies, timestamps each entry, and saves the results in JSON format. Ideal for NLP studies and text analysis

Agente Conversacional para Exploração de Vídeos do YouTube: Um assistente conversacional que utiliza transcrições de vídeos do YouTube para responder perguntas, fornecer resumos e destacar momentos importantes com timestamps. Ideal para navegar e compreender conteúdos de vídeos de forma eficiente.