Tiktok transcript

Skill dedene/skills/skills/tiktok-transcript

Fetch TikTok transcripts/captions into cached local files, for a single video or all videos of a channel/user, falling back to local mlx-whisper transcription when a video has no native captions. Use when the user provides a TikTok URL, video ID, or @handle and asks to get, fetch, download, search, excerpt, summarize, or otherwise use TikTok transcripts/captions/subtitles.From its SKILL.md

Install

npx -y skills add dedene/skills --skill tiktok-transcript

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

13 stars13 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

5.8 KB, as published. Nobody here has run it

TikTok Transcript

Fetch TikTok captions with yt-dlp, save durable transcript artifacts, and keep the full transcript out of context unless the user explicitly asks to inspect it. Videos without native captions are transcribed locally with mlx-whisper (Apple Silicon).

This skill mirrors the workflow shape of the sibling youtube-transcript skill.

Workflow

Resolve this skill directory and run the bundled script. Always single-quote TikTok URLs in zsh because ? can be treated as a glob.
Fetch to local artifacts with fetch (one video) or channel (a user's videos). Do not read transcript.md or transcript.json into context by default.
Use transcript.txt for summaries or other content-only work; it removes timestamps and is cheaper to read than transcript.md.
Use preview, search, excerpt, or bounded text output when later work needs only a small portion.
Read the full transcript only when the task truly requires full-document reasoning and no smaller excerpt/search path is enough.

Commands

python3 <this-skill-dir>/scripts/fetch-tiktok-transcript.py list 'https://www.tiktok.com/@user/video/VIDEO_ID'

python3 <this-skill-dir>/scripts/fetch-tiktok-transcript.py fetch 'https://www.tiktok.com/@user/video/VIDEO_ID' \
  --output-dir tiktok-transcripts

# All (or the N most recent) videos of a channel:
python3 <this-skill-dir>/scripts/fetch-tiktok-transcript.py channel @user --limit 20

python3 <this-skill-dir>/scripts/fetch-tiktok-transcript.py preview tiktok-transcripts/VIDEO_ID

python3 <this-skill-dir>/scripts/fetch-tiktok-transcript.py search tiktok-transcripts/VIDEO_ID 'topic or phrase'

python3 <this-skill-dir>/scripts/fetch-tiktok-transcript.py excerpt tiktok-transcripts/VIDEO_ID \
  --start 00:00:30 \
  --end 00:01:10

python3 <this-skill-dir>/scripts/fetch-tiktok-transcript.py text tiktok-transcripts/VIDEO_ID --max-chars 4000

The fetch command prints a compact result with the video title, transcript source, cue count, and a short preview. It intentionally does not print the full transcript. The channel command prints one status line per video plus a summary, and writes channel.index.json.

Whisper fallback

Not every TikTok video has captions; it depends on whether the creator enabled them.
--whisper auto (default) transcribes locally with mlx-whisper only when no native captions exist: audio is downloaded via yt-dlp -x and transcribed on-device. --whisper always forces Whisper even when captions exist; --whisper never skips it (caption-less videos are then reported as no-captions).
Requires Apple Silicon. The script uses an installed mlx_whisper binary or falls back to uvx --from mlx-whisper mlx_whisper (needs uv).
Default model is mlx-community/whisper-large-v3-turbo (good speed/quality; ~1.5 GB download on first use). Override with --whisper-model, e.g. mlx-community/whisper-tiny for quick tests. Use --whisper-language nl etc. when autodetection picks wrong.
For bulk channel runs, a cheap first pass is channel @user --whisper never, then rerun with --whisper auto to fill in only the caption-less videos (artifacts are cached; nothing is re-fetched).
transcript_source in metadata.compact.json and the fetch output records whether the transcript came from tiktok-captions or mlx-whisper:<model>.

Artifacts

Default output:

tiktok-transcripts/
├── channel.index.json        # channel mode only: per-video status
└── VIDEO_ID/
    ├── metadata.compact.json
    ├── source.info.json
    ├── VIDEO_ID.audio.m4a    # whisper fallback only
    ├── transcript.whisper.vtt  # whisper fallback only
    ├── transcript.json
    ├── transcript.md
    ├── transcript.txt
    └── transcript.vtt

transcript.json contains timestamped cue objects for programmatic search/excerpt.
transcript.txt contains timestamp-free plain text for summarization and other content-only tasks.
metadata.compact.json is the small metadata file to read into context when needed.

Fallbacks

If yt-dlp reports rate limiting, bot detection, login walls, or region errors:

Retry with browser cookies (Peter is logged in to TikTok in his browsers):
```
python3 <this-skill-dir>/scripts/fetch-tiktok-transcript.py fetch 'URL' --cookies-from-browser chrome
```
chrome, chrome:Profile 1, firefox, and safari are common values. The script also honors TIKTOK_TRANSCRIPT_COOKIES_FROM_BROWSER.
If yt-dlp warns about impersonation and requests start failing, install the impersonation dependency it suggests (curl_cffi) per https://github.com/yt-dlp/yt-dlp#impersonation.
If channel undercounts a large profile (known yt-dlp TikTok pagination flakiness), harvest video links by scrolling the profile page in a real logged-in browser session (Aside or agent-browser), then fetch each URL individually.

Notes

yt-dlp is the only required external binary for captioned videos; uv (or pip install mlx-whisper) enables the Whisper fallback.
TikTok caption info is missing from yt-dlp's JSON metadata even when captions exist — only list/fetch (which use --list-subs/--write-subs) can see them. Do not conclude "no captions" from source.info.json.
Use --refresh to re-download captions/audio and re-transcribe.
Private accounts fail even with valid cookies (open yt-dlp issue as of 2026).