Mutes YouTube videos when blocked words appear in captions.
Users
16
−1 in 30 days
Rating
5.0 / 5
unchanged in 30 days
Ratings
2
0 in 30 days
Store rank
#167K
#139K among extensions
Version
1.3
updated 23 Jun 2026
Users
monthly, 5 months
Latest, 21 Oct 2026:16 usersMove the mouse over the chart for any month
Ratings count
monthly, 5 months
Latest, 21 Oct 2026:2 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About De-cussifier
HOW IT WORKS
This extension scans YouTube captions in real time.
When a blocked word is detected, the video is muted for your selected mute duration.
Important: captions must be enabled for the extension to work.
BLOCKED WORDS:
YouTube censors cuss words like f*ck and sh*t as the following:
[ __ ]
If you want those censored words to be blocked, add:
[ __ ]
to your blocked words list.
Also add the actual words separately (for example: fuck, shit), because captions may sometimes display alternative spellings such as:
"Fuck you!" when someone is quoting something.
SAVING CHANGES
After making a change, for example changing the blocked words or mute time, click "Save" for the changes to take effect.
DEFAULT WORDLIST
The extension includes a default blocked word list.
Once you edit the blocked words yourself, your custom list replaces the default list.
TIP: MAKE CAPTIONS LESS VISIBLE
Go to:
Settings > Captions > Options:
- Font color: black
- Background opacity: 0%
- Window opacity: 0%
- Font opacity: 25%
This makes the captions way less visible if you don't like the captions, but still want to avoid swear words.
TROUBLESHOOTING
- Make sure the captions are enabled
- Click "Save" after making changes
- Refresh YouTube
- Manage the extension permissions:
Go to: Extensions > Manage extensions > Details > Site settings > Allow JavaScript and Sound
UPDATE
YouTube changed its way of presenting captions. This causes the extension to break and not work properly anymore.
There is a fix by muting the whole caption. There is also a mode where you can use the average WPM of a human to predict the bad word, but its not fully implemented yet.
I am working on using the TextTrack API in which blocking words is way more precise, but that's still a long way to go.