The 8 best AI tools for professionals in local

First steps with AI in your business

In this guide I want to talk about something that more and more companies (and also many freelancers or freelancers) They are considering. I mean the form of introduce artificial intelligence tools In your workflow, but without depending on online services or monthly subscriptions. In view of this need, I am going to focus exclusively on AI tools that work at home, that is, on your own computer or server, without having to send data to the cloud.

And is that Bet on the local AI It has a huge advantage, namely that you decide what data they enter, what is executed and how it is used. Of course, it is not enough to install a program and voila. As with any other technology or solution, integrating the day to day requires planning, and especially if you are going to do it within a business.

Therefore, before talking about tool, allow me to review some key steps that I consider necessary for the process to be useful, efficient and sustainable. These are:

Identify repetitive or expensive processes in time. This is where AI can make a difference more. For example: Transcribe meetings, classify documents or review code.
Evaluate if you need Internet connection. Local tools have advantages in privacy and control, but require more hardware power. Make sure you can run them without generating a bottleneck.
Test with low risk cases. It is best not to start automating something critical. Ideally, choose support or internal tasks where the margin of error is acceptable.
Define clear objectives. Ask yourself if you want to save time, reduce errors or generate content faster. Without a clear objective, it is difficult to measure if AI is working.
Form your team or yourself. Even the best tools require some learning. Ded time to understand how they are configured and adjusted.

There are some studies that predict that many of the AI projects in companies will end up in a drawer. To avoid this, it is essential to evaluate the tools, identify the problems that can really solve and implement them progressively.

These are the best local AI tools for your business

Then I am going to show you a selection of IA tools that work at home and that cover very diverse uses: from generating text or images, to correct the webcam or turn voice into text. In all cases, I explain what each one does, why I recommend it and in what kind of situations can help you.

LM Studio

Although I did not mention it when I talked about how to have chatbots without an internet connection, LM Studio It is one of the simplest ways to execute large models of language (LLM) on your computer, with a very careful interface and Compatibility with a lot of models available in Hugging Face. You can use it both to write and to help you with code, especially if you download models such as Deepseek-Coder or Code call.

If you are developer or work with sensitive data, Execute these models at home It allows you to have total control without sending anything to external servers. In addition, this tool is ideal for testing with different models. This allows you to know which of them is the most convenient for you.

Download LM Studio

Ollama

Ollama does have a complete guide. It is another excellent platform for execute local language modelsbut from the simplicity of the terminal of your system. You install it once, choose the model and you can interact with them from the command line. In addition, Ollama acts as a server, so other applications can be connected to it to use the models as agreed. For example, you can use it with Writing Tools to have a writing assistant in Windows without the need to connect to an API.

I especially recommend it if you have technical knowledge and want to integrate AI with your own personalized scripts or tools. It is also ideal for developers who want to mount something light, fast and without visual complications.

Download Ollama

Whisper.CPP

Whisper.CPP It is an optimized Whisper implementation, the OpenAI text transcription model. It works completely at home, even without GPU, and has excellent performance for tasks such as transcription of meetings, interviews or long videos.

The remarkable thing about whisper.cpp is that You can execute it in almost any operating system and without depending on Python or external bookstores. If you need to turn audio into text quickly and, above all, without compromising privacy, this is the best option.

Whisper.cpp in github

Vosk

Vosk It is another voice recognition system that also works without connection and makes it surprisingly well even on modest devices. It supports multiple languages (among them, Spanish and Catalan) and is easily integrated with applications thanks to its simple API.

Possibly does not have the precision of whisper for complex audios, but It is perfect for real -time applicationsvoice assistants or voice control systems. Very useful if you develop customary solutions or voice interaction devices.

I amuse

Amuse is a powerful application for generation of images with AI that you can run directly on your PCwithout the need for connection, account or login. It is compatible with Stable Diffusion XL and models such as Controlnet. In addition, now also includes video generation from text thanks to Locomotion.

It has an EZ mode for users without technical experience, but it also allows access to more than 100 advanced models in your expert mode. You can modify existing images with personalized filters, repainte specific areas or even climb images infinitely. If you dedicate yourself to graphic design, advertising or simply want to create top -level visual content without even having an Internet connection, do not hesitate to install Amuse.

Download Amuse

Windows Studio Effects in Windows 11

Windows Studio Effects, included in Copilot+ PC teams with Windows 11, Apply visual improvements through real time to your camera. It works automatically, as long as your hardware supports it. Includes options such as automatic framing, look correction, bottom of the background and facial approach.

You do not need to install any additional and the results are quite good, especially in video calls. Very useful for professionals who make constant meetings or create content with camera, but without a budget for a professional webcam.

OpenCV

OpenCV remains one of the most versatile libraries for computer vision tasksbut now it allows to integrate modern models easily. You can use it for object recognition, industrial image analysis or visual effects applied in real time.

Of course, it is not a Plug-And-Play tool: it requires advanced programming knowledge, especially Python or C ++. Now, if what you are looking for is to completely customize the workflow with image recognition in your business, it is highly recommended.

OPENCV official website

MLC Chat for Android

Finally, MLC Chat is a tool to take the LLM to the mobile environment without using an Internet connection. It works directly in Android and iOS phones And it allows to execute local language models, thanks to a very optimized architecture to function with the limited resources of mobile hardware.

Of course, we must bear in mind that the available models are relatively small due to the memory and power restrictions of the smartphones. Even so, it is a very useful tool if you need an intelligent text assistant always availablewithout depending on external servers or spending battery in permanent connections. Ideal for those who want to take advantage of AI in real mobility, without giving up privacy.

Download mlc chat for Android and iOS

Before implementing AI, finding out if a problem solves

Before launching to install and configure tools, I encourage you to ask you a key question: Does AI really solve something in your business? If you are not saving time or improving the quality of your work, you are probably forcing a technology you don’t need.

In my opinion, it is best to follow the steps I told you at the beginning: detect a real problem, evaluate whether IA can solve it and, only then, start it. Integrate only “because yes” can take timeresources and motivation. And remember that it is not the same to do evidence being autonomous as deciding in a company with 30 employees.