Alternatives
Products that do what A 4.8MB native iOS voice notes app built with SwiftUI does
Hey HN, I wanted to share a project I’ve been working on called Convoxa. It’s a native iOS transcriber/summarizer. I had two main goals: keep it efficient and keep it private. THE TECH STACK 100% Swift & SwiftUI: No heavy cross-platform wrappers or bloated dependencies. Binary Size: The final build is only 4.8 MB. Transcription: Uses Apple's latest speech APIs for maximum privacy and efficiency. THE CHALLENGE: BYPASSING THE 4K CONTEXT LIMIT The biggest technical hurdle was working with Apple’s foundation models. The default context window is capped at 4096 tokens, which is practically…
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Jul 2026 · madebywindmill.com
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We needed a speaker diarization solution that could run every few seconds alongside transcription on iOS and macOS. But native Swift support was either limited or locked behind paid licenses. Since diarization is a common need in speech-to-text workflows, we decided to open source our work and give back to the community. We initially tried sherpa-onnx, which works, but running both diarization and transcription models slowed down older devices. CPU-only inference just isn’t ideal for near real-time workloads, so we wanted the option to offload segmentation and speaker embedding to the GPU or…
2025 · github.com
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We're seeing at Algolia a lot of developers implementing speech to text in their mobile apps, but didn't see much in the way of tooling to help them do it. So we set out to fix it, and wanted to release it not just for our users, but for any devs who want to do this. iOS/Swift: https://github.com/algolia/voice-overlay-ios/ Android/Kotlin: https://github.com/algolia/voice-overlay-android/ We wanted to take away the boilerplate necessary and leave the UI and other customizations in place. We've been looking forward to sharing this…
2018
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Hi HN, I’d like to share a side project I recently finished: Speech & Audio To Text, a small iOS utility to transcribe voice messages from apps like WhatsApp, Telegram, and Voice Memos — fully offline and without sending any data to the cloud. The motivation was personal. I often receive voice notes when I can't listen to them — during meetings, while commuting on noisy trains, or when I don’t want to disturb others. I used to rely on an app that handled this well, until it moved to a subscription model and started requiring constant internet access. I wanted something that would: - Work…
2025 · apps.apple.com
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Hello all, I made a small transcription app for your Mac based on OpenAI’s Whisper. Would love some feedback. My plan is to make it easy to load weights from any fine-tuned whisper model to enable specialized dictation for any subfield. It’s still early in development. Thanks!
2023 · twitter.com
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2021 · apps.apple.com
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