Text to Speech for Videos

Generate natural-sounding speech for videos. No need for microphones, voice actors, or custom audio recordings.
  • 400+ different voices
  • Generate speech in 120+ languages
  • Create speech and video in one tool
How to convert text to video in 5 easy steps

How to generate videos with synthetic voices

With Synthesia, you can generate presenter-style videos with AI voices in minutes.

Step 1: Type your script

Simply type or paste in your script. The AI voice generator will automatically create a voiceover for your video.

Step 2: Choose a voice

Choose from 400+ high quality voices or clone your own voice through our partner software.

Step 3: Select an AI presenter

Make the voices more engaging by adding AI Avatars that will narrate your text.

Step 4: Adjust and edit

Make your voice overs stand out with personalized videos. Edit your video with in-built and custom assets.

Step 5: Generate video

Now you can download, stream, embed and share your videos.
Synthesia STUDIO platform
Play video

Key features of text to speech software

Convert text to speech in 120+ languages

Create natural-sounding voice overs using text-to-speech technology, in a language you don't even speak.

  • 400+ speech styles
  • Growing library of accents
  • Custom voices available

Present your voice overs with AI avatars

Add an AI presenter to your AI voice for increased engagement. The avatar will narrate with humanlike intonation.

  • 130+ AI characters
  • Diverse and growing selection
  • Natural-looking lip sync

Create narrated videos in 5 minutes

Create videos with natural voiceovers by simply typing in text. No need to record yourself on camera or create audio files for voiceovers.

  • Convert text to video in minutes
  • Easy-to-use platform
  • Generate AI characters and voiceovers

Adjust speech with SSML tags

Add emphasis on specific words, pauses, and adjust pronunciation using SSML tags. Add a humanlike intonation to the computer generated voice.
Synthesia laptop - icon

Easy to use interface

Create and listen to voiceovers, and convert script to video and all in one platform. No editing skills or separate audio files needed.

Here's what else you get with Synthesia

Synthesia is not only a TTS software used to synthesize text, but also a powerful text-to-video generation platform. See what else you can do with it.

See examples of voiceover videos you can create with Synthesia

Videos with voiceovers can be used anywhere from e-learning to product marketing. Here are some of the most popular use cases.

Play button

Using Synthesia, we developed a virtual facilitator to guide learners through a training session, which resulted in over 30% increase in engagement our of e-learning.

Learn more about training videos
Play Button

With Synthesia, it took me less than a week to turn 30 help articles into 2-minute videos. It's super intuitive and easy to use.

Learn more about how-to videos
Play Button

Thanks to the explainer videos created with Synthesia, we booked 35% more meetings compared to previous trade shows.

Learn more about marketing videos

Here's why 20,000+ companies create voiceover videos using Synthesia

We might be biased, but our customers aren't. See what our users have to say.

Beautiful and powerful results with little effort
We have built a training academy for our SaaS product with Synthesia. It currently consist of 39 videos over nine courses. Synthesia has enabledus to iterate
G2 Logo 5 Star review
Synthesia - Dan
Great product with even greater customer support
Synthesia allows us fast video productions with impressive results. It´s a great problem solver for our internal communication as well as for our training
G2 Logo 5 Star review
Synthesia - Dan
Easy-to-use and immediate wow-effect
The fact that you can create a video in multiple languages and change it in a sec after you found a mistake or the information changed is a breeze.
G2 Logo 5 Star review
Synthesia - Dan
The tool I have been waiting for years

Synthesia is straightforward to use. No additional peripherals, like cams and microphones needed. The results are impressive. Everything is optimized, so you are not forced to decide on tens of confusing settings.

G2 Logo 5 Star review
Synthesia client - Diego R.
A great tool for creating videos!

As an educational institution, we need to produce educational materials in 2 languages. Synthesia helps us to create high quality content in both languages, saving time and money — without compromising on quality.

G2 Logo 5 Star review
Synthesia client - Nataly R.
Great product with even greater customer support

Synthesia allows us to use video for situations we do not normally have resources for. So far, it has been used for product training, internal communication or explaining new processes.

G2 Logo 5 Star review
Jana M.
Beautiful and powerful results with little effort

We have built a training academy for our SaaS product with Synthesia. We managed to produce 20 professional-looking training videos in just three weeks.

G2 Logo 5 Star review
Tue S. Synthesia custoemr
Great resource for Training & Communication initiatives

We're using Synthesia to create explainer videos. It's just easier, faster, and more cost-effective to use Synthesia than to record an actual person doing the explanation.

G2 Logo 5 Star review
Synthesia customer - Luis F.G

The #1 rated AI video software on the planet

Rated with 4.8/5 by hundreds of teams on G2.

Frequently asked questions

How do I generate AI text-to-speech?

There are many ways to generate text-to-speech with artificial intelligence.

One common method is to use a pre-trained model that has been designed to convert text into speech. These models are often based on deep learning algorithms and can be very effective at generating realistic-sounding speech.

Another approach is to use a rule-based system, which defines a set of rules for mapping text to sounds. This method can be less flexible than using a pre-trained model but can sometimes produce more natural-sounding results.

Finally, some systems combine both approaches, using a pre-trained model as a starting point and then adding rules to fine-tune the output.