Volocal vs LLMster

Talk to an AI assistant that runs entirely on your iPhone. No cloud servers, no API keys, no subscriptions -- just real-time voice conversations powered by on-device intelligence. FULLY PRIVATE, FULLY LOCAL Every word you say stays on your device. Volocal runs three specialized AI models directly on your iPhone's hardware -- nothing is ever sent to the internet. After downloading the models on first launch, you never need a network connection again. REAL-TIME VOICE CONVERSATIONS Speak naturally and hear responses streamed back in real-time. Volocal uses a three-stage pipeline -- Speech-to-Text, Language Model, and Text-to-Speech -- all running simultaneously on different chips inside your phone for smooth, low-latency conversations. INTERRUPT ANYTIME Change your mind mid-sentence? Just start talking. Volocal supports barge-in with hardware echo cancellation, so the microphone stays active even while the assistant is speaking. No need to wait for it to finish. NO SUBSCRIPTIONS, NO API KEYS Volocal is completely free and open source. There are no in-app purchases, no subscriptions, and no hidden costs. Download the models once (~2.3 GB, Wi-Fi recommended) and you're set. HOW IT WORKS Volocal splits the workload across your iPhone's specialized processors: - Speech recognition (Parakeet EOU) runs on the Neural Engine - Language model (Qwen3.5-2B) runs on the GPU via Metal - Text-to-speech (PocketTTS) runs on the Neural Engine This separation means all three models can run at the same time without competing for resources, keeping conversations fluid and responsive. LIGHTWEIGHT Total runtime memory usage is approximately 1.2 GB, well within the limits of modern iPhones. REQUIREMENTS - iOS 17 or later - Physical device only (Neural Engine is not available in the Simulator) - ~2.3 GB of storage for model downloads on first launch Volocal is MIT licensed and open source. Built by Fikri Karim.

LLMster is a fast, private iPhone and iPad client for models running on your LM Studio server (https://lmstudio.ai). Stream replies, reasoning, tool activity, and image-based conversations from the models you host—in an app designed to feel at home on iOS. Private by design LLMster connects directly to the server you choose. There’s no LLMster account, telemetry, hosted chat service, or cloud relay in the middle. Your conversation library stays on your device, while model context stays with your configured server. External integrations run only when you choose to enable them. Your models, wherever you run them Keep your models on the machine built for them: a workstation, home server, or always-on computer. Run the LM Studio desktop app or LM Studio’s headless daemon, point LLMster at the host, and start chatting. No companion desktop client is required. Choose the right model without leaving the conversation: • Search or sort by name, size, or format, then pin favorites • See which models support vision, reasoning, or tool calls • Change models without starting a new chat Organized from the start Search chats by title, model, or folder. Browse recent conversations across every folder, then organize, rename, pin, or duplicate important threads. Move and protect your chats Share individual conversations as .llmster files and import them on another device while preserving messages, images, reasoning, tool history, and chat settings. Back up and restore your entire local chat library—including folders, pins, drafts, and attachments—with optional password protection. Backups do not include server addresses, authentication keys, or app-wide settings. LLMster also verifies transferred response context against your configured LM Studio server before continuing a chat. Vision, direct to your server Attach up to four screenshots, photos, or scanned pages to a message and send them to a compatible vision model. LLMster resizes and compresses images on your device before sending them, so the originals remain with you. Open any attachment and pinch to zoom when you need to inspect the details. Hands-free voice chat Talk naturally using on-device speech recognition and text-to-speech. Audio stays on your device; only the resulting text is sent to your configured server. Natural turn-taking and subtle haptics keep the conversation moving without touching the screen. Control each conversation Every chat can have its own: • Integrations already configured in LM Studio • Custom system prompt • Tool-call visibility • Live reasoning preference Stream reasoning as Markdown while the model works, or keep the interface quiet with a compact Thinking indicator and open the completed reasoning when you want it. Control response auto-scrolling, and choose System, Light, or Dark appearance with your preferred accent color. Rich responses, as they arrive LLMster renders streaming Markdown smoothly, including syntax-highlighted code with copy controls, inline and block math, tables, links, lists, and more. Export or share transcripts with their original Markdown intact. Keep going while you move on Run LM Studio on a workstation or headless server and connect from your phone. With Tailscale on both devices, you can keep chatting over cellular or another Wi-Fi network while your models run at home. Setup instructions are available at https://llmster.app/support