LoudReader
LoudReader is a privacy-first reading app that turns EPUBs, PDFs, web articles, and public-domain books into audiobooks with synchronized word highlighting. Its core promise is natural-sounding, on-device text-to-speech with no account, cloud processing, or usage quota.
At a Glance
- Individual readers and audiobook listeners
- iPhone and iPad users who want offline/private reading
- Students, language learners, and readers with dyslexia or ADHD
- People with low vision or screen/eye fatigue
- +2 more
AI Tools by LoudReader
(1)
loudkit
On Device Text to Speech SDK
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Latest News
LoudReader published “Little Women Audiobook, Free,” describing free listening and synthetic-voice narration.
LoudReader published “The Count of Monte Cristo Audiobook, Free.”
LoudReader published “Sherlock Holmes Audiobook, Free.”
loudkit 0.1.1 released with 28 voices, two models, five SDKs, voice cloning, streaming, and audio provenance support.
Products & Services
iPhone/iPad reading and audiobook app that imports DRM-free EPUB and PDF files, accepts web articles through the Share Extension, offers 70,000+ Project Gutenberg books, generates on-device narration, and highlights words in sync with playback.
Paid tier adding all 23 studio narrators after the free listening allowance, on-device voice cloning, 0.3x–3.0x speed control, sleep timer, ambient soundscapes, notes/highlights, and reading-style customization.
Apache-2.0 open-source local text-to-speech engine used inside LoudReader. It provides 28 voices across 10 languages, voice cloning from about 10 seconds of audio, two models (loudr-1 and loudr-1-turbo), streaming, provenance metadata for saved WAVs, and SDKs for Python, Swift, Go, Rust, and TypeScript.
Downloadable on-device speech models used by loudkit; loudr-1 is the default/naturalness-oriented model and loudr-1-turbo is the faster alternative.
Market Position
LoudReader positions itself against cloud TTS and read-aloud apps such as Speechify and NaturalReader, dedicated readers such as Speech Central and Voice Dream Reader, Apple's built-in Spoken Content, and human-narrated audiobook services such as Audible. Its differentiators are local/offline synthesis, no account, unlimited free listening, synchronized text, privacy, voice cloning, and a companion open-source engine (loudkit); the trade-off is that it is focused on Apple devices and synthetic narration rather than human performances or a broad cross-platform cloud service.
Leadership
Founders
Jeremi Podlasek
Named as LoudReader's developer on the Apple App Store; the official site uses jeremi@loudreader.io for contact. LinkedIn search results identify him as a founding ML engineer at seven24.ai.
Founding Story
The product was created around the idea that every text can be an audiobook, while keeping books, reading activity, voice synthesis, and voice cloning on the user's device. Its initial vision emphasizes unlimited listening, privacy, offline use, and synchronized reading/listening rather than cloud accounts or quotas.
Business Model
Revenue Model
Freemium consumer app distributed through Apple's App Store. Unlimited listening and an unlimited library are free; premium voices and advanced playback, cloning, and annotation features are monetized through auto-renewing subscriptions or a one-time lifetime purchase. Apple handles billing.
Pricing Tiers
Unlimited listening and library; every voice is available for the first 8 hours, then one natural voice remains available; includes Gutenberg and curated classics, night mode, chapters, and background play.
All 23 studio narrators, voice cloning, variable speed, sleep timer, soundscapes, notes/highlights, and reading styles; one-month free trial for eligible new subscribers.
Same Premium feature set with annual billing.
Permanent Premium unlock; does not renew.
Target Markets
- Individual readers and audiobook listeners
- iPhone and iPad users who want offline/private reading
- Students, language learners, and readers with dyslexia or ADHD
- People with low vision or screen/eye fatigue
- Professionals listening to PDFs, articles, memos, and legal documents
- Developers and self-hosters needing open-source, on-device TTS
- Listening to books, PDFs, articles, work memos, legal documents, and personal documents
- Reading while commuting, exercising, cooking, or doing chores
- Following text visually while listening for comprehension and retention
- Accessibility and reduced eye strain, including readers with low vision, dyslexia, or ADHD
- Language learning and listening to books in their native language
- Private/offline reading during travel, flights, or without connectivity