Voicehub SSML Editor

Voicehub SSML Editor

Voicehub offers you with it’s own SSML Editor a tool which assists you in creating voice-first speech content.
It gives you multiple features allowing you to write visually flavoured SSML and let’s you listen to an audio playback of what you just wrote.

It is an easy-to-use visual editor to improve the speech output of your voice applications. You don’t have to write SSML tags into your code anymore. You can edit the speech and export the final code once you’re ready.


The SSML Editor offers you multiple tools to change and adjust your speech:

SSML Type: break
Example: <break time=”1s”/>
The break tool allows to you insert a pause between sentences or words in your voice content.

SSML Type: emphasis
Example: <emphasis level=”strong”>Voicehub<emphasis>
Emphasis controls how much weight is put on the text or words.

SSML Type: prosody
Example: <prosody speed=”fast” volume=”loud” pitch=”high”>Have fun!<prosody>
You can change volume, speed and pitch of your content using the prosody tool.

SSML Type: say-as
Example: <say-as interpret-as=”spell-out”>SSML<say-as>

Using the say-as tool, you can have speech interpreted differently, such as spelled out characters and numbers, or have the assistant read out fractions, telephone numbers or addresses as a human would do it.

The formula tool helps you to write any arithmetic expression with a parameter used in the post as variable, for example
portions * 2, which will get calculated and injected into the speech when the post is retrieved with a value for the used parameter.

The parameter injection tool lets you insert parameters into your content when you want to use them as a stand-alone entity. You can also create new parameters on the spot. When the post is requested and a value for the used parameter is provided, it will get replaced with that value. If you have more complex requirements, consider using the formula tool as described above to write more complex logic involving dynamic parameters.

When you press play, the contents of the editor will be read out to you by the same engine your voice app uses. So if you work on an Alexa Skill, it will sound (almost) like Alexa by using Amazon Polly, and for Google Actions, it will utilize Googles Wavenet voices, which are also used in Google Actions.


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