Dart library to interact with many Youtube APIs
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Updated
May 9, 2026 - Dart
Dart library to interact with many Youtube APIs
macOS Finder 右键快速查看视频分辨率、帧率、编码信息
Python Script that performs search queries on YouTube, collects metadata, and exports to a CSV file for data analysis.
A SMPTE timecode library for Rust
C# Video Metadata reader (ffprobe wrapper)
Professional audio and video tag editor for Windows with batch and per-file workflows, provider-assisted identification, artwork collections, filename automation, library health analysis, lyrics, chapters, ReplayGain, reviewed staging, and recoverable writes.
A Python tool that restores timestamps, location, and captions to exported Snapchat Memories and Chat Media — compatible with Apple Photos and Windows File Explorer.
This repository contains a series of 4 jupyter notebooks demonstrating how AWS AI Services like Amazon Rekognition, Amazon Transcribe and Amazon Comprehend can help you extract valuable metadata from your video assets and store that information in a Graph database like Amazon Neptune for maximum query performance and flexibility.
一个音视频封面、缩略图、多媒体信息加载工具
Generate NFO files (for emby / jellyfin / plex) as metadata files from yt-dlp's .info.json files.
Remove metadata from video files – EXIF, GPS, camera info, and more. Protect your privacy by stripping hidden data from MP4, MOV, AVI, and other video formats.
A script to automate the creation of Matroska tag files using the TMDB API
A SMPTE timecode library for Elixir
Zero-dependency video metadata for Node.js and the browser. Read resolution, codec, HDR, audio/subtitle tracks, and DRM from MP4, MOV, WebM, MKV, AVI, HLS, and DASH. No ffmpeg / ffprobe required
Some video formats aren't recognised properly by MacOS Photos. This lightweight tool helps to fix that.
Media library scanning tools for structured duration and size reports in txt, csv, and json - a concurrent CLI powered by ffprobe and a browser app with local processing via web workers and WASM.
One toolkit for the video tasks you do every week — and the ones you only dare to do once. It's a modular, ffmpeg-driven command-line suite with optional AI features, built for guided interactive use and for reliable, repeatable batch automation.
Talk to YouTube videos
YouTube metadata extraction CLI. Video info, channel stats, playlists, comments. No API key needed.
YTAI: Python YouTube SDK, CLI, FastAPI API, and MCP server for search, metadata, transcripts, comments, and downloads without user-supplied API keys.
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