On a schedule
Add translated titles and descriptions to new videos
New uploads get their title and description in the languages you choose, added as YouTube localizations.
- Runs
- On a schedule
- Apps
- YouTube
- AI
- Yes, uses the built-in AI allowance
- Access
- OAuth youtube.force-ssl (read+write)
Send this to your assistant
Create a ClickRuntime automation: every hour, check for new uploads, translate the title and description into Spanish, German and Hindi, add them as localizations and email me the Studio link.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
YouTube viewers search in their own language. A Portuguese-speaking audience will not find an English-only tutorial, even if it would help them, and many creators know that adding translated titles and descriptions would widen their reach. Few do it, because translating every upload into three languages takes more time than making the video did.
On its schedule, the automation reads each video's title and description, and ClickRuntime's built-in AI translates them into the languages you chose. The translations are written to the video's localizations, so YouTube shows each viewer the version in their language, and an email gives you the Studio link to check.
Educational channels, software tutorials and any creator with international viewers will see the most benefit. Viewers in other languages see your video described the way they search for it.
What you get out of it
Foreign-language viewers can find you
A translated title shows up in search and suggestions for viewers in that language, which opens an audience that an English-only title simply could not reach. Reaching a new language group can double an audience without making a single new video.
Your original text stays as it is
Localizations are separate from the main title and description, so the original language is unchanged, and viewers whose language is not translated still see your version. Keeping the original intact means nothing is lost if a translation needs improvement.
Translation happens for every video
Since it runs on a schedule, new uploads are covered along with the backlog, which is far more consistent than translating when you happen to have time. Old videos get a second life when they are translated, and new ones are covered from day one.
No translation agency is needed
The built-in AI handles common languages, so a creator without a budget for professional translators can still offer localized text on every video. That makes localization possible for creators who could never afford it before.
A Studio link lets you check
The email includes a link so a speaker of the language can look over the result, and you can correct a phrase right in YouTube Studio. A fluent reader catches a clumsy phrase in seconds, so quality control stays easy.
How it works
What happens, step by step
Every hour, ClickRuntime checks your YouTube channel for new uploads. Videos it has already translated are skipped.
For each new video, AI translates the title and description into each language you chose.
The translations are added to the video on YouTube, so viewers see them in their own language.
You get an email listing the languages added, with a link to the video's translations page in YouTube Studio.
Before it runs live
- Connect YouTube
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Act only on the items that match your own rules, and skip the rest
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Slack
- Combine it with other YouTube steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_trigger, credentials, http, state, ai, notify, report_fetched
YT = "https://www.googleapis.com/youtube/v3"
LANGS = ["es", "de", "fr"]
@on_trigger
def run(event):
h = {"Authorization": f"Bearer {credentials.connection('google', 'work')}"}
uploads = http.get(f"{YT}/channels", headers=h, params={"part": "contentDetails", "mine": "true"}).json()["items"][0]["contentDetails"]["relatedPlaylists"]["uploads"]
items = http.get(f"{YT}/playlistItems", headers=h, params={"part": "contentDetails", "playlistId": uploads, "maxResults": 5}).json()["items"]
done = state.get("done") or []
new = [i["contentDetails"]["videoId"] for i in items if i["contentDetails"]["videoId"] not in done]
report_fetched(len(new))
if not new:
return {"summary": "Nothing new"}
for vid in new:
v = http.get(f"{YT}/videos", headers=h, params={"part": "snippet,localizations", "id": vid}).json()["items"][0]
loc = v.get("localizations", {})
for lang in LANGS:
loc[lang] = ai.generate(f"Title: {v['snippet']['title']}\n\nDescription:\n{v['snippet']['description'][:4000]}",
system=f"Translate into language code {lang}. Keep links and timestamps.",
json_schema={"type": "object", "properties": {"title": {"type": "string"}, "description": {"type": "string"}}},
max_output_tokens=1500).json
snippet = {**v["snippet"], "defaultLanguage": v["snippet"].get("defaultLanguage", "en")}
http.put(f"{YT}/videos", headers=h, params={"part": "snippet,localizations"}, json={"id": vid, "snippet": snippet, "localizations": loc})
notify.email_me(f"Translated: {v['snippet']['title']}", f"Added {', '.join(LANGS)}\nhttps://studio.youtube.com/video/{vid}/translations")
done.append(vid)
state.set("done", done[-500:])
return {"translated": len(new)}FAQ
Common questions
Which languages can it add?
Does it translate subtitles or only text?
Will it change my default language?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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