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ReadAloud

on-device, podcast-quality text-to-speech in the browser

Details

External ID
48924300
Source
HN
Company
—
Product
ReadAloud
Website domain
tryreadaloud.com
Launched
July 15, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.2873357228195938
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hi HN,Dima here. Super excited to launch ReadAloud!We built a Chrome extension that brings state-of-the-art text-to-speech to your browser. (for free!)The existing options forced a bad choice: the browser's built-in voices are unlistenable, and the products with good voices charge $29/month. This price made sense when quality TTS was expensive to run—it *isn't* anymore.We’re using the latest models that work on-device. All of it works on top of a super intuitive UI that never gets in the way.Here’s a quick demo: tryreadaloud.comReadAloud is *free forever* at up to 2x speed. $6/month gets you up to 3.5x and upgraded voices first (coming very soon).Chrome Web Store: https://chromewebstore.google.com/detail/readaloud/lblodplhe...Would love to hear feedback on how we could make it better!

Enrichment

Theme
voice dictation and control tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
browser text-to-speech engine
Manually corrected
False

Could you build this?

Partial Building the Chrome extension UI is simple, but bundling and running high-quality neural speech synthesis models smoothly within the browser sandbox via WebAssembly or WebGPU requires specialized ML engineering.

What it would actually take: The stack involves a Chrome extension manifest v3 background service worker, offscreen document handling, and ONNX Runtime Web or Transformers.js running a compact neural TTS model (e.g., Kokoro-82M or Sherpa-ONNX) compiled to WebAssembly/WebGPU. The critical hurdle is achieving sub-second time-to-first-audio chunking and synchronized phoneme-level word highlighting while keeping client-side memory footprint under browser tab limits. This requires ML optimization, audio streaming DSP, and WebAssembly SIMD/WebGPU expertise.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 218 launches clear the similarity bar, closest 8 shown.

Attention rank: #180 of 219 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 250 days after the earliest competitor.

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