How to set up Tesla Text Messaging to send and receive messages

By Nuno Cristovao

Teslas have the ability to send and receive text messages. Any message you receive while connected to the car will display the sender's name on the screen. You can then have the car read the message to you or dismiss it.

Being able to receive text messages is as simple as pairing your phone and turning on a few settings. If you’d like to reply or send a text message, you can do it completely through your voice.

How to Set Up Text Messaging

How to set up text messaging in your Tesla
How to set up text messaging in your Tesla
Not a Tesla App
  • Tap the Bluetooth icon at the top of the screen to go to Bluetooth settings.
  • You’ll see a list of phones and devices paired to your car. You’ll want to pair your phone now if you haven’t done so already.
  • You’ll need to make sure the phone you’re setting up messaging for is already connected. Then tap the name of your device on the left side.
  • You’ll see options for that device on the right side. You will want to have the “Sync Messages,” option turned on. It may also want to turn on the “Chime on New Message” option if you’d like the car to have an audible alert every time you receive a new message. If you leave this option off, the car will still display a notification on the car’s screen, but without a chime.

How to Send a Text Message

The only way to send a text message through your Tesla is using your voice.

Your Tesla will read incoming text messages and allow you to respond
Your Tesla will read incoming text messages and allow you to respond
Not a Tesla App
  • On a Model S or Model X, tap the voice button on the top right side of the steering wheel.
  • On a Model 3 or Model Y, push in the right scroll wheel to start a voice command.
  • Then use the voice command, “Send text to Name”, Name being the person in your phone’s contacts that you’d like the message to be sent to. You’ll need to have your contacts synced to your car in order for this to function.
  • If you’d like to send or view text messages already sent during your trip. You can tap the Apps button (denoted by a ^) and choose Phone. From there tap the Messages tab and you'll see a list of all the contacts and messages you have sent and received during this trip. Messages already on your phone or sent in a previous drive will not show up here.

How to Receive a Text Message

Your Tesla will display and read incoming text messages
Your Tesla will display and read incoming text messages
Not a Tesla App

If your phone is connected via Bluetooth and you have the sync messages option turned on, you’ll now receive an alert every time you receive a text message.

You’ll hear a ding and the alert will appear on the screen along with the sender’s name. The message will be obscured until you choose it to be shown and read.

  • Model 3 or Model Y
    • To view a text message and have the car read the message to you, press the right scroll wheel.
    • To dismiss a message, you can press the right scroll wheel twice.
    • To dictate a reply, you press the right scroll wheel once, followed by your reply. Once you're done, you can press the right scroll wheel again to send the message.
  • Model S or Model X
    • On the instrument cluster you will see different options that you can select with the scroll wheel and the select button that will let you view, reply or dismiss the text message.

Tips

Car doesn't recognize a name

If the car has a hard time recognizing a name in your phonebook, there are a couple things you can do. You can duplicate the contact on your phone, giving the second contact a name that the car will recognize. Alternatively, you can favorite the contact. By favoriting a contact you'll be able to easily start a text message with them by going to Apps (the ^ icon ), Phone and then Favorites. Each favorite or contact has a Call icon next to their name along with a Message icon that you can use to start a new conversation.

Re-dictate a message

If you have a Model 3 or Model Y, and you reply to someone, only to have the car not understand what you said, you can dictate your message again by pressing the right scroll wheel in twice. On a Model S or Model X, you have a selectable option to let you re-try dictating the message.

Stop reading a message

If the car is reading a long text message and you'd like to stop it, you can press the right scroll wheel two times to dismiss the message.

Playback volume

Although it would be a great feature, there is currently no way to adjust the volume at which text messages are read.

Troubleshooting

If you’re not receiving text messaging in the car you will want to confirm that your phone is paired and connected. You’ll also want to confirm that the ‘Sync Messages’ option is turned on in the car's Bluetooth settings.

You'll also want to check your phone's Bluetooth settings to make sure the phone is sharing the relevant data with the car. You'll want to go to Bluetooth settings and find your device which you're connecting to, which is the car in this case. It should be labeled as Tesla followed by the model and the name of your car. Then you can tap on the ( i ) icon for iPhone's or the gear icon for Android and you should see device specific settings. You will want to be sure that the car is sharing contacts and notification or text message data with the car.

If you’re still having trouble, you may want to try rebooting your car. If it still doesn't work, you can try unpairing the phone and repairing it again. Delete the device from the car's Bluetooth settings and also delete the car from your phone's Bluetooth settings. You can then repair and enable text messaging again.

Keep in mind that sending group messages or replying to group messages is not currently supported on some devices, including iPhones.

Tesla Plans Massive 10x Robotaxi Expansion: A Look at the Potential New Area

By Karan Singh
Not a Tesla App

With Tesla’s first major expansion of the Robotaxi Geofence now complete and operational, they’ve been hard at work with validation in new locations - and some are quite the drive from the current Austin Geofence.

Validation fleet vehicles have been spotted operating in a wider perimeter around the city, from rural roads in the west end to the more complex area closer to the airport. Tesla mentioned during their earnings call that the Robotaxi has already completed 7,000 miles in Austin, and it will expand its area of operation to roughly 10 times what it is now. This lines up with the validation vehicles we’ve been tracking around Austin.

Based on the spread of the new sightings, the potential next geofence could cover a staggering 450 square miles - a tenfold increase from the current service area of roughly 42 square miles. You can check this out in our map below with the sightings we’re tracking.

If Tesla decides to expand into these new areas, it would represent a tenfold increase over their current geofence, matching Tesla’s statement. The new area would cover approximately 10% of the 4,500-square-mile Austin metropolitan area. If Tesla can offer Robotaxi services in that entire area, it would prove they can tackle just about any city in the United States.

From Urban Core to Rural Roads

The locations of the validation vehicles show a clear intent to move beyond the initial urban and suburban core and prepare the Robotaxi service for a much wider range of uses.

In the west, validation fleet vehicles have been spotted as far as Marble Falls - a much more rural environment that features different road types, higher speed limits, and potentially different challenges. 

In the south, Tesla has been expanding towards Kyle, which is part of the growing Austin-San Antonio suburban corridor spanning Highway 35. San Antonio is only 80 miles (roughly a 90-minute drive) away, and could easily become part of the existing Robotaxi area if Tesla obtains regulatory approval there.

In the East, we haven’t spotted any new validation vehicles. This is likely because Tesla’s validation vehicles originate from Giga Texas, which is located East of Austin. We won’t really know if Tesla is expanding in this direction until they start pushing past Giga Texas and toward Houston.

Finally, there have been some validation vehicles spotted just North of the new expanded boundaries, meaning that Tesla isn’t done in that direction either. This direction consists of the largest suburban areas of Austin, which have so far not been serviced by any form of autonomous vehicle.

Rapid Scaling

This new, widespread validation effort confirms what we already know. Tesla is pushing for an intensive period of public data gathering and system testing in a new area, right before conducting geofence expansions. The sheer scale of this new validation zone tells us that Tesla isn’t taking this slowly - the next step is going to be a great leap instead, and they essentially confirmed this during this Q&A session on the recent call. The goal is clearly to bring the entire Austin Metropolitan area into the Robotaxi Network.

While the previous expansion showed off just how Tesla can scale the network, this new phase of validation testing is a demonstration of just how fast they can validate and expand their network. The move to validate across rural, suburban, and urban areas simultaneously shows their confidence in these new Robotaxi FSD builds.

Eventually, all these improvements from Robotaxi will make their way to customer FSD builds sometime in Q3 2025, so there is a lot to look forward to.

Caught on Video: Tesla FSD Tackles a Toll Booth — Here’s How It Pulled It Off

By Karan Singh
@DirtyTesLa on X

For years, the progress of Tesla’s FSD has been measured by smoother turns, better lane centering, and more confident unprotected left turns. But as the system matures, a new, more subtle form of intelligence is emerging - one that shifts its attention to the human nuances of navigating roads. A new video posted to X shows the most recent FSD build, V13.2.9, demonstrating this in a remarkable real-world scenario.

Toll Booth Magic

In the video, a Model Y running FSD pulls up to a toll booth and smoothly comes to a stop, allowing the driver to handle payment. The car waits patiently as the driver interacts with the attendant. Then, at the precise moment the toll booth operator finishes the transaction and says “Have a great day”, the vehicle starts moving, proceeding through the booth - all without any input from the driver.

If you notice, there’s no gate here at this toll booth. This interaction all happened naturally with FSD.

How It Really Works

While the timing was perfect, the FSD wasn’t listening to the conversation for clues (maybe one day, with Grok?) The reality, as explained by Ashok Elluswamy, Tesla’s VP of AI, is even more impressive.

FSD is simply using the cameras on the side of the vehicle to watch the exchange between the driver and attendant. The neural network has been trained on enough data that it can visually recognize the conclusion of a transaction - the exchange of money or a card and the hands pulling away - and understands that this is the trigger to proceed.

The Bigger Picture

This capability is far more significant than just a simple party trick. FSD is gaining the ability to perceive and navigate a world built for humans in the most human-like fashion possible.

If FSD can learn what a completed toll transaction looks like, it’s an example of the countless other complex scenarios it’ll be able to handle in the future. This same visual understanding could be applied to navigating a fast-food drive-thru, interacting with a parking garage attendant, passing through a security checkpoint, or boarding a ferry or vehicle train — all things we thought that would come much later.

These human-focused interactions will eventually become even more useful, as FSD becomes ever more confident in responding to humans on the road, like when a police officer tells a vehicle to go a certain direction, or a construction worker flags you through a site. These are real-world events that happen every day, and it isn’t surprising to see FSD picking up on the subtleties and nuances of human interaction.

This isn’t a pre-programmed feature for a specific toll booth. It is an emergent capability of the end-to-end AI neural nets. By learning from millions of videos across billions of miles, FSD is beginning to build a true contextual understanding of the world. The best part - with a 10x context increase on its way, this understanding will grow rapidly and become far more powerful.

These small, subtle moments of intelligence are the necessary steps to a truly robust autonomous system that can handle the messy, unpredictable nature of human society.

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