Swift Scribe: On-device AI scribe using Apple's new Foundation Models
Despite the Liquid Glass controversy, our team is quite excited about the new on-device ASR model and Foundation Model Framework. It makes building local-first AI apps much easier, it was very easy to build a basic scribe app compared to our first iteration of our meeting note taker. Everything runs locally with zero cloud dependencies. With the option to combine with cloud models for more complex tasks, we hope to see more local-first AI apps. Microsoft just announced Foundry local as well, and it'll be interesting to see where they go with it. There are still some limitations with the…
Swift Scribe: On-device AI scribe using Apple's new Foundation Models launched on June 13, 2025 with 13 votes, #1,425 of 7,999 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
Swift Scribe is an on-device AI transcription app built using Apple's Foundation Models framework. It converts speech to text locally on the device with no cloud dependencies, making it suitable for users who need privacy-focused note-taking. The app demonstrates how Apple's new on-device models enable faster development of local-first AI applications, though it currently has a 4,096 token context window limitation.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Despite the Liquid Glass controversy, our team is quite excited about the new on-device ASR model and Foundation Model Framework. It makes building local-first AI apps much easier, it was very easy to build a basic scribe app compared to our first iteration of our meeting note taker. Everything runs locally with zero…
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Conversational AI 2.0 From ElevenLabs2025 · elevenlabs.io · ▲652Luke from ElevenLabs here. We just released Scribe Realtime v2, our new real-time Speech to Text model. We rebuilt it from the ground up around a new architecture that uses predictive transcription – it anticipates the next likely word before it’s spoken. That makes it both fast (around 150 ms latency) and highly accurate. Scribe v2 Realtime outperforms every low latency transcription model across 30 commonly used EU and Asian languages – 93.5% accuracy, compared to Gemini 2.5 Flash (91.4%), GPT-4o MiniTranscribe (90.7%), and Deepgram Nova 3 (85%). It supports 90+ languages including…

Willow Frontier ProJul 2026 · willowvoice.com · ▲292Hey HN! We were part of YC S24, ended up pivoting around. Made dictation that worked really well, and decided to go all in on agentic. We've done two major things. 1. Scribe is a revamp of our product. Continually learns your style (can get into details if comments want). TLDR; we fingerprint based off your edits, and make dictation sound more and more like you. Post-trained Llama 3.1 8b. 2. Dictation is completely free. Unlimited unpersonalized dictation for everyone.
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Qwen Scribe – local transcription and dictation for Apple SiliconJul 2026 · github.com · ▲97Private, local transcription and system-wide dictation for Apple Silicon. - VladUZH/qwen-scribe
SwiftAI – open-source library to easily build LLM features on iOS/macOS2025 · github.com · ▲74We built SwiftAI, an open-source Swift library that lets you use Apple’s on-device LLMs when available (Apple opened access in June), and fall back to a cloud model when they aren’t available — all without duplicating code. SwiftAI gives you: - A single, model-agnostic API - An agent/tool loop - Strongly-typed structured outputs - Optional chat state Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That…
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