video-downloader-enhanced

Download videos and extract original post captions, audio transcripts, and metadata from video platform links. Use when the user provides Douyin, Bilibili, WeChat Channels, Xiaohongshu, or YouTube links and asks to save the original video, capture the post text/caption, transcribe the spoken in-video script/copy, archive source material, or prepare video material for downstream analysis or skill creation. Douyin is implemented with an H5 primary route and yt-dlp fallback; Bilibili, YouTube, and Xiaohongshu are implemented through yt-dlp; WeChat Channels is not implemented yet and should currently be handled via the WeChat mini program kg百宝箱.

Video Downloader

Overview

Use this skill to turn a video-platform URL into a local source-material folder containing the video file, post_caption.txt, audio.wav / audio.m4a / audio.mp3, transcript.txt, transcript.srt (whisper.cpp only), and metadata.json.

Terminology:

• post_caption.txt: platform publish text, title, description, and hashtags.
• transcript.txt: spoken in-video script generated from audio ASR.
• metadata.json: normalized platform metadata plus download and ASR status.

Output Folder Naming

Each download creates a folder with a human-readable name:

text

YY_MM_DD_标题摘要_平台_作者

Example: 26_07_27_AI做PPT零基础终极教程_抖音_木子不写代码

Rules:

• Date — video publish date preferred, falls back to download date. Format: YY_MM_DD.
• 标题摘要 — title trimmed to ≤40 characters; newlines, hashtags (#), mentions (@), emoji removed.
• 平台 — Chinese display name: 抖音 / B站 / YouTube / 小红书.
• 作者 — falls back to 未知作者 when unavailable.
• Dedup — if the folder already exists, appends the last 5 characters of the video ID.
• Internal file names (post_caption.txt, metadata.json, etc.) are not affected.

The current implemented providers are Douyin, Bilibili, YouTube, and Xiaohongshu. WeChat Channels is an explicit extension point; do not claim that provider works until its provider module has been implemented and tested. For WeChat Channels links, tell the user to first use the WeChat mini program kg百宝箱 to download the video from the 视频号 link, then continue with local ASR or downstream processing on the downloaded file.

Quick Start

Run the bundled CLI from this skill directory:

bash

python3 scripts/download_video.py "https://v.douyin.com/..." --output-dir ./downloads

For metadata/post-caption extraction without downloading the video:

bash

python3 scripts/download_video.py "https://v.douyin.com/..." --output-dir ./downloads --metadata-only

For download without ASR:

bash

python3 scripts/download_video.py "https://v.douyin.com/..." --output-dir ./downloads --asr none

For Chinese speech with local whisper.cpp (recommended):

bash

python3 scripts/download_video.py "https://v.douyin.com/..." --output-dir ./downloads --asr whisper_cpp --asr-language Chinese

For Chinese speech with cloud ASR:

bash

SILICONFLOW_API_KEY="..." python3 scripts/download_video.py "https://v.douyin.com/..." --output-dir ./downloads --asr siliconflow --asr-language Chinese

To bias ASR toward domain terms or a specific script:

bash

python3 scripts/download_video.py "https://v.douyin.com/..." --output-dir ./downloads --asr-language Chinese --asr-prompt "请使用简体中文转写。关键词：丧尸清道夫、Shotlab、Midjourney、GPT Image、AI生图。"

Workflow

1. Identify the platform from the URL.
2. Use scripts/download_video.py as the single entrypoint.
3. Inspect the output folder and report:
   • video path, when downloaded
   • post caption path
   • audio path
   • transcript path
   • SRT path (whisper.cpp and openai-whisper)
   • metadata path
   • platform, item ID, author, duration, resolution, and any provider caveats

ASR Transcript

After a video is downloaded, the CLI extracts audio with ffmpeg and transcribes it. Four backends are available, selected via --asr.

Backend Options

Backend	Description
auto (default)	Auto-detect: whisper.cpp > openai-whisper > SiliconFlow
whisper_cpp	Local whisper.cpp (whisper-cli), fastest on Apple Silicon
whisper	Local openai-whisper Python CLI
siliconflow	Cloud API via SiliconFlow SenseVoiceSmall
none	Skip audio extraction and transcription entirely

--asr auto Priority

When --asr auto (the default) is used, the backend is selected in this order:

1. whisper.cpp — if WHISPER_CPP_BIN points to an executable file, or whisper-cli is available on PATH, and WHISPER_CPP_MODEL points to an existing model file.
2. openai-whisper — if the whisper CLI is available on PATH.
3. SiliconFlow — if SILICONFLOW_API_KEY is set in the environment.
4. If none of the above are available, an error is returned. No software is auto-installed.

whisper.cpp (--asr whisper_cpp)

The recommended local backend for best performance on Apple Silicon.

Environment variables:

• WHISPER_CPP_BIN — optional explicit path to whisper-cli; when unset, search PATH
• WHISPER_CPP_MODEL — required path to a local GGML model file

bash

export WHISPER_CPP_BIN="/path/to/whisper-cli"
export WHISPER_CPP_MODEL="/path/to/ggml-large-v3-turbo.bin"

Do not assume a platform-specific default path. No software is installed automatically.

Output artifacts:

• audio.wav (16 kHz PCM)
• transcript.txt
• transcript.srt (subtitles with timestamps)
• transcript.whisper_cpp.json (metadata)

The model is always the file path, not a model name — --asr-model is ignored for whisper_cpp.

openai-whisper (--asr whisper)

Output artifacts:

• audio.m4a
• transcript.txt
• transcript.srt
• transcript.whisper.json

SiliconFlow (--asr siliconflow)

Requires SILICONFLOW_API_KEY. Calls https://api.siliconflow.cn/v1/audio/transcriptions.

Output artifacts:

• audio.mp3
• transcript.txt
• transcript.siliconflow.json

SiliconFlow does not currently provide an SRT file; srt_path is returned as null.

Result Contract

Every ASR result includes status, backend, model, language, audio_path, transcript_path, srt_path, raw_json_path, and error. A selected backend that fails returns status: failed; auto does not silently retry another backend after transcription has started.

Common Options

• --asr-language — Language for transcription, e.g. Chinese, zh, English, auto. Default: auto.
• --asr-model — Model name. Default: auto (whisper.cpp ignores this; openai-whisper defaults to base; SiliconFlow maps to FunAudioLLM/SenseVoiceSmall).
• --asr-prompt — Initial prompt passed to the ASR engine. Use it to request Simplified Chinese output and provide domain terms.
• --asr-max-seconds — Debug limit: transcribe only the first N seconds of audio.

Douyin Provider

The Douyin provider uses the H5 share page as the primary route. It follows the share URL, parses the server-rendered window._ROUTER_DATA, extracts the original post text and video resource ID, then downloads through the non-playwm endpoint.

If the H5 route fails, or if metadata extraction succeeds but direct media download fails, use yt-dlp as a fallback. The fallback first tries a normal yt-dlp download, then retries with Chrome cookies.

Important behavior:

• Prefer the non-watermark aweme/v1/play/ endpoint over the share-page playwm endpoint.
• Treat yt-dlp as a backup route, not the primary Douyin route.
• Store the original Douyin publish text in post_caption.txt.
• Store raw and normalized metadata in metadata.json.
• Use --metadata-only for fast tests or when the user only needs copy/caption.
• Use --no-yt-dlp-fallback only when debugging the H5 route itself.

Bilibili Provider

The Bilibili provider uses yt-dlp as the primary route for both metadata extraction and media download.

Important behavior:

• Support bilibili.com and b23.tv links.
• Store the Bilibili title plus description in post_caption.txt.
• Store yt-dlp raw metadata and normalized fields in metadata.json.
• Download with bv*+ba/b and merge to mp4 when possible.
• Retry with Chrome cookies when anonymous metadata extraction or download fails.
• Use --metadata-only for fast tests or when the user only needs title/description metadata.

YouTube Provider

The YouTube provider uses yt-dlp as the primary route for both metadata extraction and media download.

Important behavior:

• Support youtube.com and youtu.be links.
• Store the YouTube title plus description in post_caption.txt.
• Store yt-dlp raw metadata and normalized fields in metadata.json.
• Download with bv*+ba/b and merge to mp4 when possible.
• Use local Node as the yt-dlp JavaScript runtime when available.
• Retry with --remote-components ejs:github or Chrome cookies when the basic route fails.
• Use --metadata-only for fast tests or when the user only needs title/description metadata.

Xiaohongshu Provider

The Xiaohongshu provider uses a three-tier download fallback:

1. Anonymous yt-dlp — public download without any authentication (no cookies).
2. Public direct URL — if metadata is available but anonymous yt-dlp can't download, extracts the highest-quality video stream URL from yt-dlp's formats metadata and downloads it via plain HTTP.
3. Chrome cookies yt-dlp — last resort; requires local Chrome browser access.

Metadata extraction is always anonymous — cookies are never triggered just to get author info or metadata.

Important behavior:

• Support xiaohongshu.com, xhslink.com, and xhslink.cn links.
• Store the Xiaohongshu title plus note body in post_caption.txt.
• Store yt-dlp raw metadata and normalized fields in metadata.json.
• Author nickname is taken from anonymous metadata; falls back to 未知作者 when unavailable.
• Remote assistant: if both public routes fail, reports "需要在电脑端授权 Chrome Cookie" immediately instead of hanging.
• Safety: no cookies.txt is saved; cookie contents are never logged or included in output.
• metadata.json records download.method, download.cookie_used, download.direct_url_source, and download.fallback_errors for full traceability.
• Use --metadata-only for fast tests or when the user only needs title/note metadata.

WeChat Channels Provider

WeChat Channels is recognized but not implemented yet.

Current finding:

• yt-dlp does not support the tested weixin.qq.com/sph/... share link.
• The public web page can expose text, cover image, and QR-code flow, but did not expose a playable video URL in the tested case.
• Do not claim that this skill can directly download WeChat Channels videos until a provider has been implemented and tested.

Temporary workflow:

• Ask the user to open WeChat and search for the mini program kg百宝箱.
• In kg百宝箱, paste the 视频号 video link and download the video there.
• After the user has the downloaded video file locally, this skill can still be used for local ASR/transcript work if the file is passed through the ASR helper or a future local-file entrypoint.

Provider Extension Contract

Add new platforms by creating a module under scripts/providers/ and registering it in scripts/providers/__init__.py.

Each provider should expose:

• PLATFORM: stable provider name
• supports(url: str) -> bool
• fetch(url: str, output_root: Path, *, metadata_only: bool = False, **options) -> dict

Output folders should include the same artifact contract whenever possible:

• metadata.json
• post_caption.txt
• audio.wav / audio.m4a / audio.mp3 and transcript.txt when ASR is enabled
• transcript.srt when whisper.cpp ASR is enabled
• video file when download is enabled

Reserved providers:

• wechat_channels

When a reserved provider is detected but not implemented, say so plainly and do not fabricate a download result.

Safety

Download only material the user owns, has permission to download, or can lawfully archive for their intended use. Do not bypass DRM, paid access controls, private permissions, or platform restrictions for unauthorized redistribution.