NEW Mistral Update!

Today I'm going to show you the new Mistral update that just dropped. It's called Vox Draw Mini 4B Realtime and it's a game changer for anyone doing transcription or voice AI. This thing is fast. It's open source and it runs on your laptop. Let's dive in. So Mr. AI just released something pretty wild.

It's called Voxil Mini 4B Realtime and this is their latest speechto text model that works in real time. We're talking about live transcription as you speak. No delays, no waiting, just instant text is part of their Vox Draw transcribe to suite. Now, if you've been following AI, you know Mistral has been crushing it. Here's what makes this different. Most speech to text models process audio in batches. You record something, you send it to the cloud, you wait, then you get your text back. That's fine for podcasts or recordings, but it sucks for live stuff, video calls, live events, voice assistance, anything where you need the text right now. VROW Mini4B Realtime changes that. It streams. It processes audio as it comes in. So, you get transcription in real time. We're talking sub 200 millisecond latency. That's faster than you can blink. And it handles 13 languages: English, Chinese, Hindi, Spanish, Arabic, French, Russian, Korean. The list goes on. Now, here's

where it gets really good. This model is open- source Apache 2. 0 license. That means you can download it, run it locally, no cloud needed, no data leaving your device. Full privacy. and with only four billion parameters is small enough to run on a laptop or edge device. You don't need a massive server farm to use this thing. Let me break down why this matters. First, privacy. When you run models locally, your audio never leaves your computer. That's huge for anyone dealing with sensitive info, legal calls, medical consultations, internal company meetings. You're not sending that data to some third party server. Second, speed. That sub 200 millisecond latency is insane. Most models have delays of a few seconds. That might not sound like much, but when you're doing live captions or voice commands, every millisecond counts. This is fast enough for real conversations. Third, control. You own the model. You decide where it runs. You decide what data it processes. You're not locked into someone else's platform or service. That's freedom. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. Now, let's

talk about what you can actually do with this. The use cases are wild live event captions. Imagine running a conference or webinar, people speaking, instant captions appearing on screen in 13 different languages. No human captioner needed. Podcast transcription. You record your podcast. Vox transcribes it in real time. You get your show notes instantly. No waiting voice assistance. This is where things get really interesting. You can build voice interfaces that respond instantly. No lag, no awkward pauses while the AI processes your speech. Just smooth, natural conversation. Accessibility tools for people who are deaf or hard of hearing. Real-time captions are life-changing. And with this model being open- source, you can build these tools and deploy them anywhere. Customer service systems, call centers, support lines, transcribe calls in real time, route them automatically, pull up relevant info based on what the customer is saying, all happening live. Real-time translation interfaces, someone speaks in Spanish, Vox transcribes it. You pipe that to a translation model. Boom. Instant translation. All happening fast enough for real conversations. If you want to start using Vox Draw Mini4B Realtime, learning how to automate your workflows with AI tools like this is exactly what we cover in the AI profit boardroom. It's the best place to scale your business and discover how to use cuttingedge AI models like Voxrol for real world applications. Whether you're building voice assistants, automating transcription, or creating accessibility tools, you'll get step-by-step guidance on implementing these technologies. Check out the link in the description. Now, let's talk about how this actually

works. The key is the streaming architecture. Traditional models wait for audio to finish, then they process the whole thing at once. Voxrol doesn't do that. It processes audio chunks as they arrive. Think of it like this. Old models are like waiting for a whole email to load before reading it. Vox is like reading the email as it's being typed. You get info faster. The model uses something called a streaming decoder. It takes in audio frames, processes them on the fly, outputs text continuously, and it's smart about it. It can handle pauses, background noise, multiple speakers, all in real time. The latency is configurable, too. You can tune it based on your needs. Need ultra low latency for live captions? Set it to 200 milliseconds. Okay. With a bit more delay for better accuracy, bump it up to a second or two. You control the trade-off. And the accuracy is solid. They've tested it on standard benchmarks. The word error rates are competitive with the big players. So, you're not sacrificing quality for speed. You're getting both. Here's what I love about this. Mistral isn't just releasing an API. They're giving you the actual model. The weights are on hugging face. You can download them right now. Run them on your own hardware. Modify them if you want. That's the power of open source. Compare that to the closed source alternatives. They work great, but you're stuck using their servers, their rules, their updates. With Vauxtrail, you're in control. Now, let's get into the technical side for a second. This is part of the Voxrol Transcribe 2 suite. The original Voxrol models came out in July 2025. Those were good, but they were mostly for batch processing. You had Voxrol smaller mini for transcription and comprehension. They worked well for recorded audio, but they weren't built for streaming. This new real-time version is a complete redesign. It's built from the ground up for live audio. That's the big difference, and that's why it's so fast. The multilingual support is another huge win. 13 languages right out of the box. And it's not just English with okay support for other languages. It's trained to handle all 13 equally well. So whether you're transcribing English, Mandarin, or Arabic, you get the same quality. That opens up so many possibilities. Global teams, international events, multilingual content creation, all of it becomes easier. And because it's edge ready, you can deploy this anywhere. Your laptop, a Raspberry Pi, a mobile device. You're not limited to big servers. That means you can build voice apps that work offline. No internet needed, just the device and the model. That's perfect for situations where connectivity is limited or privacy is critical. Let me show you

where to find everything. The model weights are on hugging face. Just search for Voxrol Mini 4B Realtime 2602. Download it. The documentation is on Mistral's official site. They have guides for both the API and local deployment. If you're a developer, the API docs will walk you through setting up streaming transcription if you want to run it locally. There are instructions for that, too. And the community is already testing it. Reddit has threads with people sharing their results, tips, tricks, optimizations. That's where you'll find the real world insights. If you want to start using Vox Mini 4B real time and tools like it, learning how to automate your workflows with cuttingedge AI is exactly what we cover in the AI profit boardroom. is the best place to scale your business, get more customers, and discover how to use state-of-the-art AI models like Vox Draw for real world applications. Whether you're building in voice assistance, automating transcription workflows, creating accessibility tools, or implementing speech to text in your business processes, you'll get step-by-step guidance on implementing these technologies the right way. We break down exactly how to integrate these models into your existing systems and show you practical use cases you can deploy today. Check out the link in the description to join. And if you want the full process, complete SOPs, templates, and over 100 AI use cases like this one. Join the AI success lab links in the comments and description. You'll get all the video notes from there, detailed breakdowns of every tool we cover, plus access to our community of 38,000 members who are crushing it with AI. Inside you'll find people sharing their wins, troubleshooting challenges together, and discovering new ways to leverage AI tools every single day. It's completely free to join, so there's no reason not to get in there and start

learning. All right, thanks for watching. Hit the like and subscribe button and I will see you in the next