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A 4.8MB native iOS voice notes app built with SwiftUI

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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 STACK100% 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 LIMITThe biggest technical hurdle was working with Apple’s foundation models. The default context window is capped at 4096 tokens, which is practically useless for anything over a 10-minute meeting transcript.I ended up building a recursive chunking method to "feed" the model long-form data without losing the global context of the conversation. I use a sliding window approach where each chunk's summary informs the next, ensuring the final output doesn't "hallucinate" at the seams where the chunks meet. It’s now stable enough for long-form audio while remaining entirely on-device for supported hardware.PRIVACY & AI MODESOn-Device: (Apple Intelligence required) - Total local processing.Cloud: With reasoning for intelligent insights (Zero Data Retention).I’m currently in the pre-order phase (out on Feb 3rd) and would love to get some feedback from this community on the performance and the chunking logic.App Store: https://apps.apple.com/us/app/convoxa-ai-meeting-minutes/id6...

HN · launched Jan 27, 2026 · 7 upvotes (top 65%) · 0 views

Niche: voice productivity assistants · 123 launches, 7 in the last 7 days ▼ -36% · Explore this niche →

Category and tags

  • Horizontal
  • Workflow automation
  • B2C
  • Not AI
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Yes This is a native iOS client built in SwiftUI that uses Apple's native Speech framework for on-device speech-to-text or calls an external transcription/LLM API for cloud processing.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one : 603 launches clear the similarity bar, closest 8 shown.

Attention rank: #328 of 604 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 82 days after the earliest competitor.

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