Block VIII · AI on your own machine · Lesson 44
Free local tools: chat, voice, transcription and images
You'll set up your own free environment: a chat interface, an OpenAI-compatible server, audio transcription, voice and images, without paying fees and without your data leaving your home.
- 11 min
- 9 animated slides
- 4-question quiz
- Narrated in 6 languages
What you'll see in this lesson
- Your free AI setup at home
With free programs you can set up chat, transcription, voice and images that run on your machine, with no subscriptions.
- A server that speaks like OpenAI
Ollama, LM Studio, Jan and LocalAI offer the same API as OpenAI on your machine: you only change the base address.
- Open WebUI: a private ChatGPT in your browser
Open WebUI is a web interface that connects to Ollama or any compatible API and adds documents, voice, images and users.
- Jan and LM Studio: desktop apps, no terminal
If you prefer a regular app, Jan and LM Studio download models, chat and also start a local server.
- LocalAI: one API for text, voice and image
LocalAI is a free, MIT-licensed server that mimics the OpenAI, Anthropic and ElevenLabs APIs for all kinds of models.
- Transcribe audio locally with Whisper
Whisper, OpenAI's open model, transcribes meetings and audio in Spanish on your machine; whisper.cpp and faster-whisper speed it up.
- Natural voice locally: Kokoro and Piper
Kokoro and Piper turn text into speech on your machine, for free and with Spanish voices, without sending the text to any service.
- Images on your machine with ComfyUI
ComfyUI generates and edits images and video locally with models like FLUX.2, Qwen Image or Wan, by linking blocks called nodes.
- Summary: free local tools
With free pieces that speak OpenAI's language you get chat, transcription, voice and images with no subscriptions and without your data leaving.
Tools and concepts
- Open WebUI
- Jan
- LocalAI
- Whisper
- Kokoro
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More lessons in this block
- Open models worth using today
- Quantization: how to fit a big model on your graphics card
- Ollama, LM Studio, llama.cpp or vLLM: which engine to use
- What hardware you need: minimum, recommended and top-end
- The latest in local: Strata and TensorFold
- Uncensored models: what they are and what risks they carry