Skip to content


Since version 1.0, SinusBot has two options for you to use Text-to-Speech. You can either

  • have the bot use an online service to do the speech synthesis or
  • install some libraries from the Chromium project to generate speech on your computer/server

Both come with advantages and disadvantages - using an online service will most likely generate some cost, while using your server to generate voice will consume quite some CPU power.

Using an online service

To let your bot speak via an online service, you need to register with such a service and get a valid URL (link) that the bot can use to do the actual conversion.

Settings -> Instance Settings has got a field called TTS-Url where you can enter such a URL.

To make this actually work, you have to replace the parameter that contains the text to __TEXT and the locale (if that can be configured via the service) to __LOCALE.

If you are using the locale feature, please also provide the default locale in the appropriate field.

Afterwards click Save changes.

Hit Alt+S in the bot interface to run a test. If everything was successful, you should hear the bot saying what you entered after a short delay.

Given you have a tts provider that handed you an URL in the form of

you will have to replace the "Test" in the URL with __TEXT and that "en" with __LOCALE, so that it looks like

See the [[|forums]] for a list of providers known to support this kind of URLs.

Installing libraries from the Chromium project

These are basic instructions for Linux. You need at least SinusBot 1.0 for this to work.

  • Download and install the library and the voices
cd /opt/sinusbot/tts
tar -xzf patts.tar.gz
rm patts.tar.gz

If the last command fails, you probably need to install unzip first. On Debian/Ubuntu this can be done with apt install unzip.

Afterwards, edit your config.ini ato contain the following:

Enabled = true

Locale = "en-US"
Filename = "voice_lstm_en-US.zvoice"
PipelineFile = "voice_lstm_en-US/sfg/pipeline"
Prefix = "voice_lstm_en-US/sfg/"
Instances = 2

Locale = "de-DE"
Filename = "voice_lstm_de-DE.zvoice"
PipelineFile = "voice_lstm_de-DE/nfh/pipeline"
Prefix = "voice_lstm_de-DE/nfh/"
Instances = 2

You can get the proper settings for the PipelineFile and Prefix parameters from the corresponding .js files. Some voices (those that have files beginning with remote_) need to be downloaded separately first.

The Instances parameter limits the number of concurrent synthesis processes - each of those consumes about 40-100 MB RAM and some CPU cycles. Locale is the locale parameter that is actually used by the bot.