/en/projects/ouveComing soon
Ouve app icon

Ouve.

Turn text into narrated audio.

iOS app that turns typed text, pasted text and PDFs into audio narrated by natural voices. Listen offline, no signup, no subscription.

  • SwiftUI
  • AVFoundation
  • OpenRouter
  • Replicate (Minimax)
  • Sentry
  • Keychain
  • Claude Code
  • Codex
Coming soon · Apple App Store

Ouve arriving.

Category
Productivity
Platform
iOS
Release
2026
Developer
Gabriel Vaz
— Screens

Inside the app

05 / iPhone

  • Ouve — Home · three inputs
    01Home · three inputs
  • Ouve — Natural voice catalog
    02Natural voice catalog
  • Ouve — Editor with selected voice
    03Editor with selected voice
  • Ouve — Local library
    04Local library
  • Ouve — Background-audio player
    05Background-audio player
— Features

Everything that matters. Nothing that doesn't.

Case study · from problem to launch

Dozens of PDFs `to read later`. Never read. There's time to listen — but not to read.

  1. — 01 / The spark

    I have more text than time.

    Dozens of PDFs and articles `to read later` piled up. I never read them. My commute in Salvador, the treadmill, the pre-sleep slot — all perfect moments to listen.

    But Brazilian Portuguese TTS was always robotic, or required an Audible subscription that doesn't have what I want, or charged a heavy monthly fee `just in case`.

  2. — 02 / The user problem

    Natural voice, no subscription.

    The user wants to listen to the report, the article, the chapter. No signup. No monthly subscription. No sending data to a platform that will train a model on it.

    And they want a natural voice — not a robot. Robot is discarded in 30 seconds.

  3. — 03 / The concept

    Paste. Listen.

    Paste text, import a PDF, pick a voice. Audio is generated on demand using the best TTS models — Google Gemini, OpenAI — via OpenRouter.

    You pay cents for what you actually listen to, not a monthly fee `just in case`. Audio is stored on-device. No profile, no tracking, no login.

  4. — 04 / Validation

    Twelve people. Three profiles.

    I tested with 12 distinct people: professionals tracking technical literature in Portuguese, multitasking parents, two users with visual impairments.

    Natural voice was the #1 retention driver. Second, minimum friction — text becomes audio in three taps. Everything else is detail.

  5. — 05 / Built with AI

    Parser, queue, player. All generated.

    Native iOS in SwiftUI + AVFoundation with two TTS providers: OpenRouter (OpenAI/Gemini) and Replicate (Minimax — Sofia, Tomás, Elis, Maria, Bento voices in Brazilian Portuguese). Claude Code and Codex generated the parsers (PDF/TXT/MD/DOCX/EPUB), the generation queue, the background-audio player, and the UsageLimiter.

    API keys stored in the iOS Keychain — never on our servers. Crash and performance via Sentry — never sending user text, audio, or keys.

    • SwiftUI
    • AVFoundation
    • OpenRouter
    • Replicate
    • Sentry
    • Keychain
    • Claude Code
    • Codex
  6. — 06 / Launch

    Charge for usage, not for fear.

    Coming soon to the App Store, Productivity category. Anti-abuse strategy: per-key limits, an educational fallback if the quota runs out, remote status via Vercel to turn off generation in an emergency.

    No monthly subscription. No `freemium` that becomes a `paywall`. You pay cents for what you listen to. Period.

— Privacy first

Built with respect for you.

  • 01Text sent only to the chosen TTS provider (OpenRouter or Replicate)
  • 02No profiles, accounts or login inside the app
  • 03Audio and library stored on-device
  • 04Crash + performance via Sentry (anonymized, no personal identifiers)