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video-translator
Dub a video into another language and generate subtitles using the default Together + Cartesia stack. Trigger when the user wants to translate / dub / voice-over a video file, or generate subtitles for it. Handles `.mp4` / `.mkv` / `.webm`. Installs as the `violin` CLI (and `violin-api` for the FastAPI server) via `uv tool install`. For alternative models (OpenAI / ElevenLabs) or custom configs, point the user to the repo: https://github.com/shang-zhu/violin.
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// RATINGS
Not yet listed on ClawHub or SkillsMP
// README
🎻 Violin
Open-source Video Translation Skill.
🌐 Live demo · 📝 Blog post · 📜 MIT License
Upload a video. Violin transcribes the speech, translates it, synthesizes a native-sounding voice-over in the target language, and remuxes it back into the video — fully aligned, with optional SRT subtitles.
Available as a CLI, a FastAPI web app, and a Claude Code skill.
✨ Features
- 33 target languages with handpicked native-speaker voices for the 16 most-used ones (Cartesia Sonic 3 + ElevenLabs)
- In-video Q&A — ask questions about any moment in the dubbed video; answers use nearby subtitles plus sampled frames
- Natural-language voice picker — describe the voice you want, an LLM picks from the catalog
- 6 style profiles (experimental) — standard / kids / academic / casual / storyteller / news
- Pluggable stack — Together / OpenAI / ElevenLabs interchangeable for every stage, one YAML
🚀 Quick start
Try it without installing anything
The live demo runs at https://www.violin-ai.com — drop a short clip in, get a dubbed video out in a few minutes.
Run locally
Requires Python 3.10+ and ffmpeg on PATH.
curl -LsSf https://astral.sh/uv/install.sh | sh # install uv if you don't have it
uv tool install violin # recommended — faster, isolated
# or: pip install violin # if you'd rather install into your current Python env
export TOGETHER_API_KEY=... # get one at https://api.together.ai (add to ~/.zshrc to persist)
Three ways to use it:
1. CLI — translate one file:
violin lecture.mp4 lecture_zh.mp4 --language Chinese
2. Web app — full REST API + browser UI:
violin-api
# → http://127.0.0.1:8000 (browser UI)
# → http://127.0.0.1:8000/docs (interactive API docs)
3. Claude Code skill — invoke from any Claude Code session:
violin --install-skill # one-time: copies the skill into ~/.claude/skills/
claude
> please use the violin skill to translate path/to/video.mp4 into Chinese
git clone https://github.com/shang-zhu/violin.git
cd violin
uv sync
cp .env.example .env # then fill in TOGETHER_API_KEY
uv run main.py lecture.mp4 lecture_zh.mp4 --language Chinese
To use the violin / violin-api commands globally while edits to your local source reflect immediately, install editable:
uv tool uninstall violin # if you've installed the PyPI version
uv tool install --editable .
After this, violin / violin-api run from your local checkout — edit any file and the next invocation picks it up; no rebuild needed. To switch back to PyPI: uv tool uninstall violin && uv tool install violin.
📝 To Do List
- [-] support voice cloning.
- [-] lip sync generation.
🎬 How Violin works
Video
│
├─ ffmpeg ─────────────────────► Extract audio (16 kHz WAV)
│
├─ Whisper Large v3 ────────────► Word-level timestamps → sentence segments
│
├─ LLM (DeepSeek V4 Pro by default) ──► Translate each segment, respecting style profile
│
├─ TTS (Cartesia Sonic 3 by default) ─► Synthesize dubbed audio per segment
│
└─ ffmpeg ─────────────────────► Speed-align video to dubbed audio,
concat with freeze-frame fallback,
single-pass AAC encode the audio track,
write output mp4 + optional SRT
⚙️ Configuration
Override any default by writing your own YAML and passing it with --config my.yaml — only the keys you want to change need to appear; values deep-merge with the built-in defaults.
Switch providers
# config/default.yaml — pick the stack you want
models:
transcription:
provider: together # together | openai
model: openai/whisper-large-v3 # together → openai/whisper-large-v3 | openai → whisper-1
translation:
provider: together # together | openai
model: deepseek-ai/DeepSeek-V4-Pro-0813 # together → deepseek-ai/DeepSeek-V4-Pro-0813 | openai → gpt-5.5
tts:
provider: together # together | elevenlabs | openai
model: cartesia/sonic-3 # together → cartesia/sonic-3 | elevenlabs → eleven_v3 | openai → tts-1-hd
chat:
provider: together # together | openai — must be vision-capable
model: zai-org/GLM-5.3-Flash # together → zai-org/GLM-5.3-Flash | openai → gpt-5.5
The
chatstage is a reasoning model by default, and it spends part ofchat.max_tokenson thinking before it answers. If you point it at a different model, keep that budget generous (the shipped default is4096) — too tight and the API returns an empty answer withfinish_reason: length.
Production overrides
A starter config/prod.yaml is included for public deployments. It adds upload limits, serializes jobs, and caps ffmpeg concurrency. The included Dockerfile + docker-compose.yml + Caddyfile are how the live demo is hosted — docker compose up -d --build after filling .env is enough to put a copy of Violin behind auto-HTTPS on any Docker host.
Environment variables
| Variable | When required | Description |
|---|---|---|
TOGETHER_API_KEY | Recommended — covers every stage with the default config | Together AI API key |
OPENAI_API_KEY | Any stage uses provider: openai | Covers whisper-1, GPT models, and tts-1 |
ELEVENLABS_API_KEY | TTS uses provider: elevenlabs | ElevenLabs API key |
CORS_ORIGINS | Optional | Comma-separated allowed origins (default: *) |
You only need keys for the providers you actually pick. Pure-OpenAI deployments (all stages on
openai) work too —OPENAI_API_KEYalone is enough. Same idea for ElevenLabs.
🎭 Style profiles
Six built-in profiles tune both the translation LLM prompt and the TTS delivery. Use --style <name> on the CLI or pass style in API requests.
| Style | Tone | TTS speed | Emotion |
|---|---|---|---|
standard | Faithful translation, natural voice | 1.0× | — |
kids | Rewritten for a 7-year-old, plain language | 1.0× | excited |
academic | Formal register, preserves jargon and honorifics | 0.95× | calm |
casual | Spoken slang, contractions, friendly | 1.1× | content |
storyteller | Vivid, dramatic narration | 0.9× | enthusiastic |
news | Concise, declarative, broadcast-style | 1.0× | neutral |
Add your own by editing prompts/styles.yaml.
See all available styles: violin --style list.
💻 CLI usage
Examples use the PyPI-installed
violincommand. If you're running from a git checkout, substituteuv run main.pyforviolin(anduv run run_api.pyforviolin-api).
# Basic
violin lecture.mp4 lecture_es.mp4 --language Spanish
# Pick a style
violin talk.mp4 talk_zh.mp4 --language Chinese --style kids
# Pick a specific voice
violin lecture.mp4 lecture_fr.mp4 --language French --voice "french narrator man"
# Skip SRT
violin lecture.mp4 lecture_ja.mp4 --language Japanese --no-subtitles
# Full replacement (no original audio underneath)
violin lecture.mp4 lecture_ko.mp4 --language Korean --no-voiceover
# Custom config (e.g. switch to OpenAI/ElevenLabs)
violin lecture.mp4 lecture_it.mp4 --language Italian --config config/other_api.yaml
CLI flags
| Flag | Default | Description | |------|-------
// HOW IT'S BUILT
// FILES
2 files shipped with this skill. Inline text is the catalog copy. The upstream link is the source repository.
.claude/skills/video-translator/SKILL.md4.1 KBf497937f4932upstream ↗
--- name: video-translator description: Dub a video into another language and generate subtitles using the default Together + Cartesia stack. Trigger when the user wants to translate / dub / voice-over a video file, or generate subtitles for it. Handles `.mp4` / `.mkv` / `.webm`. Installs as the `violin` CLI (and `violin-api` for the FastAPI server) via `uv tool install`. For alternative models (OpenAI / ElevenLabs) or custom configs, point the user to the repo: https://github.com/shang-zhu/violin. allowed-tools: Bash, Read --- # Violin — operating skill Always uses the default config (Together for translation, `cartesia/sonic-3` for TTS). If the user asks for OpenAI, ElevenLabs, or custom configs, **stop and point them to the Violin repo** — those flows aren't supported through the global CLI. ## Pre-flight Run these silently first. Abort if any fails: ```bash command -v violin # 1. CLI on PATH test -f "<input>" # 2. Input exists printenv TOGETHER_API_KEY # 3. Key available ``` If `violin` is missing: tell the user to `uv tool install violin`, then `violin --install-skill` to refresh this skill file. Do not auto-install. If `TOGETHER_API_KEY` is missing: - Inside the Violin repo → populate `.env` (auto-loaded) - Elsewhere → `export TOGETHER_API_KEY=...` in `~/.zshrc` / `~/.bashrc`, then `source` it ## Decisions - **CLI vs API**: single run-and-wait file → CLI (`violin`). Multi-job / HTTP / web UI → API server (`violin-api`); print the command, don't auto-start it. - **Style** (`--style`): default `standard`. Kids content → `kids`, formal/lecture → `academic`, casual → `casual`, dramatic → `storyteller`, news → `news`. Run `violin --style list` if unsure. - **Voiceover**: keep default (mix dubbed audio over a quiet original). Use `--no-voiceover` only when the user explicitly says "replace audio entirely". ## Run ```bash violin <input> <output> --language <Lang> [flags] ``` ## Flags | Flag | Default | When to set | |------|---------|-------------| | `--language` / `-l` | *required* | Target language (e.g. `Chinese`, `Spanish`, `Japanese`). | | `--voice` / `-v` | auto (native voice picked by `preferences.voice_gender`) | Only when the user names a specific voice from the catalog (e.g. `"warm female narrator"`). Otherwise omit and let the default kick in. | | `--source-language` | `auto-detect` | Only if Whisper mis-detects the source language. | | `--style` / `-s` | `standard` | See Decisions above. | | `--no-subtitles` | off | User says "no SRT" / "video only". | | `--no-voiceover` | off | User says "replace original audio entirely". | | `--config` / `-c` | `config/default.yaml` | Don't use through this skill — repo-only flow. | | `--timings-out` | off | Only when the user wants a per-step timing JSON for debugging / benchmarking. | ## Language coverage 33 target languages total. **16** ship with handpicked native-speaker voices: Chinese, Spanish, English, Hindi, Arabic, Portuguese, Russian, Japanese, Turkish, German, Korean, French, Italian, Polish, Dutch, Swedish. The other **17** fall back to the English voice catalog (multilingual under Cartesia Sonic 3) — quality is decent but the voice isn't a native speaker. Mention this caveat only if the user is translating to a fallback language and asks about voice quality. ## Report back - Output video path + SRT path (printed by the run). - Total cost (printed at end — surface, don't hide). - If voiceover was on, mention the `_original.m4a` sidecar. ## Don'ts - Don't run on multi-GB videos without first quoting the rough cost (audio length × per-provider rates in `pipeline/pricing.py`). - Don't fabricate a "subtitles-only" mode — the CLI requires the full pipeline. If the user only wants SRT, run the full pipeline and hand them just the `.srt`, warning them of the cost first. - Don't try to switch to OpenAI or ElevenLabs from this skill. Point the user to the repo + `--config config/other_api.yaml` (or their own override). - Don't paraphrase the README. For supported languages (33), voice catalog, and full flag docs, point them at `README.md` or `violin --help`.README.mdupstream ↗
Contents are not inlined in the catalog. Open the upstream file.
Plain-text copy, no login: /skill-bundles/shang-zhu-violin-claude-skills-video-translator.md