Hearem

Hearem is a text-to-speech reader for iPhone and iPad that takes a different approach from the single-engine apps it competes with: instead of one proprietary voice set, it aggregates top-tier models from ElevenLabs, Azure, OpenAI and TikTok, so the same document can be read in whichever voice sounds least fatiguing over an hour. Input handling is the other half of the appeal — PDFs, web pages and OCR-scanned text all become listenable material, which covers the awkward cases (a scanned textbook chapter, a research paper, a saved article) that simpler readers refuse. Mixed-language reading means a document that switches between, say, English and Chinese is pronounced correctly in both rather than mangled by a single-locale voice, and voice cloning lets you listen in a familiar voice if the stock options grate. Practical listening features are there too: sentence-by-sentence navigation for re-reading a dense passage, background playback so it keeps going when the screen locks, and audio export for offline listening. The 'Magic Editor' cleanup step — stripping page numbers, headers and footnote debris before synthesis — is the kind of detail that separates a pleasant listen from a jarring one. It is iOS-only, and the premium voice models are the ones that make it worth using, so budget for a subscription if you plan to listen daily. For commuters, students working through reading lists, and anyone with a long article backlog, it is one of the more capable readers on the App Store.