Murf AI is a new-age online text to speech tool that allows users to generate AI voiceovers in minutes. Designed for Enterprises, SMBs as well individual content creators, Murf supports 100+ ultra-realistic voices across 19 languages.
Teams & Enterprises can utilize features like Team collaboration, Pronunciation library to create voiceovers at scale.
Murf is most suited for eLearning narrations, explainer videos, product & software demos, conversational AI, audiobooks, and gaming.
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I love Murf AI! It's the best text to speech app I've ever used. It's easy to use and makes my life so much easier. I can't imagine living without it.
Based on our record, Murf AI should be more popular than Google ARCore. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Https://murf.ai/ PDF Summarize (You can just use 4o or Claude though:. - Source: Hacker News / 14 days ago
Murf AI is a versatile AI voice generator that offers over 120+ text-to-speech voices in 20+ languages. You can use Murf’s lifelike AI voices for podcasts, videos, and all your professional presentations. You can also upload your video, music, or image and sync it with the voice of your choice. You can play with pitch, punctuation, and emphasis to make the AI voices carry your message however you like. - Source: dev.to / 11 months ago
Https://murf.ai/ is pretty cool and scary. Source: 12 months ago
Murf.ai - Voice-over for presentations, podcasts, videos and more. Source: about 1 year ago
I have played around with https://murf.ai/ which is an excellent TTS. As well as https://heypi.com/talk which can respond to my chats with voice, but these are not exactly what I am looking for. Source: about 1 year ago
I don't know houw you would do it on ios but you should be able to do it on android if the phone supports it with.this library from google: https://developers.google.com/ar. Source: about 1 year ago
If you have any control on the choice of the source/webcam, I'd recommend using a camera that can sense depth from the start (lidar cameras, like Intel RealSense if you are building something like a commercial robot; or a consumer device with lidar capabilities like iPad Pros since 2020, because they come with SDKs to do what you want from the start. E.g. https://developer.apple.com/augmented-reality/arkit/ or... Source: over 2 years ago
You guys are right that Unity doesn't support building for arm64 Linux. It looks like the op could potentially install Android on the Raspberry Pi, which may allow them to run Android APKs built with Unity. However, AR Core is needed in order for Unity's AR functionality to work, and I suspect it would take additional work to get AR Core working on the Pi with an external camera and gyroscope. Source: over 2 years ago
If the phone doesn't support ARCore, then you would have to implement all of the world / surface detection yourself inside your application code, which is very difficult problem to solve. Source: over 2 years ago
If you're looking to build a more advanced application, there are plenty of useful resources for all major technologies. For mobile apps, the best places to get started are docs for Google ARCore and Apple ARKit. Both platforms work with popular gaming engines like Unity and Unreal Engine. - Source: dev.to / over 2 years ago
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