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Heard for iOS: ePub reader with on-device text to speech

Details

External ID
48926378
Source
HN
Company
—
Product
Heard for iOS: ePub reader with on-device text to speech
Website domain
heard.quest
Launched
July 15, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.1081242532855436
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
native desktop apps and utilities
Vertical
Education
Function
Vertical SaaS
Audience
B2C
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
ebook reader with text-to-speech
Manually corrected
False

Could you build this?

Partial The iOS EPUB reader wrapper is straightforward, but running high-quality neural text-to-speech models locally on mobile devices requires CoreML quantization and specialized ML inference optimization.

What it would actually take: The app needs a Swift/SwiftUI reader engine using an EPUB parsing framework, paired with an embedded on-device neural TTS engine (such as Piper, Kokoro, or FastSpeech converted to Core ML). The challenging part is optimizing model weights (INT8/FP16) to execute efficiently on Apple Neural Engine without overheating, draining battery, or stuttering during real-time streaming audio generation. Deep familiarity with Core ML, audio graph rendering (AVAudioEngine), and on-device machine learning inference is required.

Discussion

1 comment analyzed.

Concerns raised: battery indicator distraction

Competitors

Other products that read as similar to this one — 451 launches clear the similarity bar, closest 8 shown.

Attention rank: #423 of 452 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 258 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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