This is a straightforward Douyin (Chinese TikTok) video downloader that strips watermarks and extracts speech to text. You paste a share link and get back the clean video file plus a markdown transcript using SenseVoice API from SiliconFlow. The video download part works without any API key, but you'll need one if you want the speech transcription. It uses FFmpeg under the hood to rip the audio before sending it off for recognition. Outputs are organized by video ID in separate folders. The documentation is entirely in Chinese but the code structure is clear. Honestly most useful if you're doing content research or need to archive Douyin videos with their spoken content indexed as searchable text.

skills.sh installs
2K
GitHub stars
1.3K
last updated
Jul 14, 2026

Install

$ npx -y skills add yzfly/douyin-mcp-server --skill douyin-video --agent claude-code

Installs into .claude/skills of the current project.

Files

抖音无水印视频下载和文案提取

从抖音分享链接获取无水印视频下载链接, 下载视频, 并使用语音识别提取视频中的文案, 自动保存到文件.

功能概述

  • 获取下载链接: 从抖音分享链接解析出无水印视频的直接下载地址 (无需 API 密钥)
  • 下载视频: 将无水印视频下载到本地指定目录
  • 提取文案: 通过语音识别从视频中提取文字内容 (需要硅基流动 API 密钥)
  • 自动保存: 每个视频的文案自动保存到独立文件夹 (视频ID为文件夹名)

环境要求

依赖安装

pip install requests ffmpeg-python

系统要求

  • FFmpeg 必须安装在系统中 (用于音视频处理)
  • macOS: brew install ffmpeg
  • Ubuntu: apt install ffmpeg

API 密钥配置 (仅文案提取需要)

文案提取功能使用硅基流动 API, 需要设置环境变量:

export API_KEY="your-siliconflow-api-key"

获取 API 密钥: https://cloud.siliconflow.cn/

使用方法

方法一: 使用脚本 (推荐)

# 获取视频信息和下载链接 (无需 API 密钥)
python douyin_downloader.py --link "抖音分享链接" --action info

# 下载视频到指定目录
python douyin_downloader.py --link "抖音分享链接" --action download --output ./videos

# 提取视频文案并保存到文件 (需要 API_KEY 环境变量)
python douyin_downloader.py --link "抖音分享链接" --action extract --output ./output

# 提取文案并同时保存视频
python douyin_downloader.py --link "抖音分享链接" --action extract --output ./output --save-video

# 安静模式 (减少输出)
python douyin_downloader.py --link "抖音分享链接" --action extract --output ./output --quiet

输出目录结构

提取文案后, 每个视频会保存到独立文件夹:

Sponsors

Details

Repository
github.com/yzfly/douyin-mcp-server
Categories
Backend & APIs, AI & Agent Building
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