Lekh AI

Lekh AI runs MLX/CoreML models locally in a native Swift app-private, offline AI with no cloud data or recurring fees. On-device inference for text, code and assistant workflows.

Lekh AI

About Lekh AI

Lekh AI is a native app for iPhone, iPad, and Mac that runs AI models entirely on the device, keeping data local and private. It combines chat, vision, document/PDF analysis, image generation, and voice features into a single offline assistant.

Review

Lekh AI aims to provide a compact, offline assistant experience for Apple device users who prioritize privacy and low ongoing cost. The app supports multiple local models and includes voice interaction, making it a convenient all-in-one option for casual to productivity-focused use without sending data to cloud services.

Key Features

  • On-device LLM chat with support for several models (Gemma, Qwen, Llama, Phi, Mistral, OpenELM).
  • Vision and document/PDF analysis for extracting information from images and files locally.
  • Image generation capabilities built into the app.
  • Voice chat and text-to-speech using Kokoro TTS for spoken interaction.
  • 100% private operation with no cloud APIs and no recurring subscriptions.

Pricing and Value

The app is offered as a one-time purchase (listed at $2) rather than a subscription. For users who value privacy and want offline AI capabilities on Apple devices, this pricing model provides strong upfront value compared with recurring cloud-based fees. Bear in mind that local models may differ in capability from large cloud-hosted models, so trade-offs between cost/privacy and raw model performance should be considered.

Pros

  • Local processing keeps data on the device, which is attractive for privacy-conscious users.
  • Low one-time cost with no subscription required.
  • Multi-modal feature set (chat, vision, document analysis, image generation, voice) in a single app.
  • Supports a variety of models and includes a built-in TTS option for voice interactions.
  • Native app for iPhone, iPad, and Mac, which can yield smooth integration with the Apple ecosystem.

Cons

  • Limited to Apple devices; no cross-platform support for non‑iOS users.
  • On-device models can be smaller or less capable than the largest cloud models, so accuracy or depth of responses may vary.
  • Local inference can consume storage, CPU, and battery, depending on model size and use patterns.

Overall, Lekh AI is best suited for iPhone, iPad, and Mac users who want an affordable, privacy-first assistant that works offline for chat, vision, document analysis, image generation, and voice. Users who require the absolute highest-performing cloud models or need cross-platform availability may find on-device limitations a drawback.



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