Answer Tickets, Chats, and Escalations With Your Voice

Almost nobody has to look up the typing speed for their own job. Support agents do. It shows up in the posting, it shows up in the screening test, and once you are hired it quietly shows up again every time the queue gets long.

Sixty words a minute is a common bar. A fast agent might hit ninety. Speaking runs at around 220, and the keyboard averages around 45, which means the ceiling on this job has never really been how fast you think. It has been how fast your hands can catch up.

Speech to text for customer service moves that ceiling rather than raising it. You say the reply the way you would say it to the customer if they were standing there, and Voiskey clears out the fillers and false starts and hands you something you can send.

The gap shows up most on the replies that are not templated. A refund explanation, a workaround, an apology that has to sound like a person wrote it. Those are the ones that take four minutes of typing and thirty seconds of talking.

Every support team has a document nobody wants to write. The help center article for the question that comes in twelve times a week, the macro library that is three months out of date, the onboarding doc for the next hire.

You already know the answer. You have said it out loud dozens of times. The problem has never been the content.

Voice to text in Word works the same way it works anywhere else. Open the document, click into it, and talk. The difference from a plain transcript is what comes out: a spoken explanation lands as a heading, a short setup paragraph, and numbered steps, rather than one unbroken block you then have to break up by hand.

That also holds in Google Docs, Notion, Confluence, and whatever your team keeps its knowledge base in. Voiskey runs at the input level rather than inside one application, so the document does not have to live anywhere in particular.

Support vocabulary is a closed world that no general dictionary has ever seen. Your product's feature names, your internal codename for the bug, the error codes, the SKU, the integration partner whose name is spelled the way a startup spells things.

A reply that gets one of those wrong reads as if you did not understand the problem, which is exactly the impression you were trying to undo.

Voiskey learns them. Add a product name, an error code, or a spelling your style guide insists on, and it stops guessing. That vocabulary follows you across devices, so the terms you taught it on your work machine are already there when you pick up a ticket on your phone.

Voiskey works anywhere you can type, so there is nothing for IT to install and no integration to approve. Zendesk, Intercom, Freshdesk, Gorgias, Front, Help Scout, and Salesforce Service Cloud for the ticket. Outlook and Gmail for the email that came in outside the queue. Slack and Teams for the escalation. Word, Google Docs, Notion, and Confluence for the help article. Jira and Linear for the bug report.

You also do not have to talk at full volume. Voiskey picks up softer speech, including a whisper, which matters on a support floor more than almost anywhere else.

Support is the most multilingual job in most companies. The team is in one place, the customers are everywhere, and a lot of agents are answering all day in a language they speak well but write slowly.

Voiskey supports 100+ languages and 20+ keyboards, and it does more than swap words. It adjusts word order, formality, and the phrasings a native speaker would actually use, so the reply reads like it was written rather than translated. You can mix two languages in one sentence and still get clean output in one.

Say it in whichever language the answer comes to you in. What reaches the customer reads the way their own support team would have written it.