Hello r/macapps! 



Shubi here – I’ve been building a **fully on-device AI app for Mac**, and I just shipped a major **Lekh AI Pro update**. This community has been huge in shaping the product, so I’d love your feedback on what to build next. Attached is a walkthrough video of how the app works.

This release is packed – here’s what’s inside now:

* **Chat with local models** (MLX, GGUF, JANG – LLaMA, Qwen, Gemma, Mistral, DeepSeek, etc.)
* **Vision models** (analyze images)
* **Image generation + editing** (Flux, Qwen Image Edit,SDXL, inpainting, object removal, colorization)
* **4x Upscaling** 
* **NEW: LTX-2.3 video generation (fully local)**
* **Text-to-Speech** (Kokoro + Qwen3 TTS + MOSS TTS, fully offline)
* **Memory / RAG (Knowledge Hub)** – chat with your own files & data
* **Memory Sync** – keep context across chats
* **Local AI Server** (OpenAI-compatible, runs on your Mac)
* **Performance upgrades** (turboquant, faster MLX inference)
* **Bring your own models** (GGUF, MLX, JANG support)
* **Benchmarking** capabilities
* Tons of bug fixes + chat improvements



Everything runs **fully on-device** – no APIs, no subscriptions, no data leaving your Mac.



**Problem:** Most AI tools depend on cloud APIs, subscriptions, and sending your data externally. That adds cost, latency, and privacy concerns. There’s still no single tool that brings *everything* local into one place.

**Solution:** Lekh AI Pro runs chat, vision, image generation, editing, TTS, memory (RAG), and even video generation entirely **on your Mac** – unified, private, and optimized for Apple Silicon.

**Comparison:** Ollama + OpenWebUI are great for local chat, but require setup and are fragmented across tools. This is a **fully integrated native macOS app** – no config, no terminals – just install and run everything locally.



**Price:** $9.99 one-time (Pro)

[https://lekhai.app/pro](https://lekhai.app/pro)

Direct download (advanced features not allowed in App Store due to sandbox limits)

I turned my Mac into a private AI workstation (chat, images, video, all offline) – Walkthrough