Releases: ufoooo2025/video-context
Release list
Video Context 0.1.0a3 — English documentation
Let your AI assistant summarize videos from YouTube, Bilibili, and Xiaohongshu. Send a link to get the main points, take notes, or ask questions about the video. Xiaohongshu support is experimental.
What changed
- English is now the primary language for the README, usage guide, contributing guide, and security and validation pages.
- Each page includes a link to its Chinese translation.
- The introduction explains what you can do before describing subtitles, local transcription, and MCP.
This is a documentation update. Extraction behavior is unchanged from 0.1.0a2; some runtime messages and Skill instructions remain in Chinese.
Get started
Windows users: download video-context-0.1.0a3-source.zip below, extract it, and follow the README to prepare uv, Codex CLI, and Node.js for YouTube. Run install.cmd, then reopen Codex and send a video link. First setup downloads dependencies and a speech model of about 500 MB.
Validation and limits
Package privacy checks, local documentation links, and installation/version checks passed. Extraction code and tests match the previous release, whose 29 tests passed in an isolated environment. No runtime change was made in this release.
This is still a development preview. Fresh operating-system installation and real-machine macOS/Linux validation remain pending. Video Context uses subtitles and audio; it does not interpret everything shown on screen. Not every platform link is accessible. Use it locally, not as a public service accepting arbitrary URLs.
MIT licensed. Downloads exclude private samples, credentials, models, and machine settings. Use SHA256SUMS.txt to verify the files.
Video Context 0.1.0a2 · 开发预览
Video Context 的首个公开预览版。把 YouTube、B站或小红书视频链接交给 AI 工具,先获取带时间戳的文字,再进行总结和问答。
开始使用
Windows 用户请下载下方的 video-context-0.1.0a2-source.zip,解压后按 README 准备 uv 和 Codex CLI,再双击 install.cmd。首次安装需要联网下载依赖和约 500 MB 的语音模型。安装成功后重新打开 Codex,即可尝试发送视频链接。
这一版包含什么
- 优先使用平台字幕,没有合适字幕时在本机识别语音。
- Markdown / JSON 导出、本地缓存,以及 MCP 和 Skill 接入。
- B站分 P 选择、后台转写和取消、长文字分页读取。
- MIT 协议,可商用、修改和分发,需保留版权及许可声明。
验证与限制
独立环境中的 29 项测试通过,包含实际 MCP 标准输入输出通信。YouTube 字幕、B站与小红书样本转写已有本机验证;源码安装器复用现有模型的流程也已通过。
这是开发预览版。小红书为实验性支持;首次使用仍需要准备环境。全新操作系统首次安装及 macOS/Linux 实机验证尚未完成。工具读取字幕和声音,不具备完整画面理解能力,也不保证每个链接均可提取。请勿直接用作接收任意链接的公网服务。
发布包不含私人样本、Cookie、访问参数、模型或本机配置。SHA256SUMS.txt 用于核对下载文件。