AudioPig vs Mood Reader

AudioPig plays the audiobooks you already own in a charming yet powerful player. ON APPLE WATCH — INDEPENDENT PLAYBACK • Keep and play your library from your wrist, iPhone left behind • Transfer seamlessly from iPhone to Apple Watch SUBTITLES GENERATED ON DEVICE — FOR ANY BOOK • On-device transcription, generated on your iPhone in seconds (iOS 26 or later) • Follow the narration, search a line, bookmark it, or export it Transcribe near where you are listening, from your current position, or the whole book YOUR LIBRARY, ON YOUR DEVICE • Import one or many MP3/M4B files from Files • Merge files into one book with a seamless chapter timeline • Edit chapter titles, start times, and order • Search, multi-select, and organize with folders • Edit title, author, and cover art BUILT FOR LIGHT AND EXTENSIVE USE • Skim — hold the cover for half a second to play faster • Configurable skip forward and back • Scrub the whole book or the current chapter • Sleep timer: minutes or end of chapter — survives app restarts •Playback position saved automatically, with Listening Log making sure you never miss your place •Easily export book transcriptions and ordered Bookmarks - keep your notes ALSO IN AUDIOPIG PLUS • Smart Rewind — Look Far and Look Near jump back to a natural pause • Speech EQ — narration-tuned presets for clearer dialogue • Listening Log — dated stretches with start and end positions, so a lost spot is one tap away FREE TO START All core playback, library, bookmarks, chapter editing, stats, and Apple Watch remote control stay free. AudioPig Plus is yours forever for $14.99 once, or $1.99 a month after a 7-day free trial. NO ACCOUNT. NO CLOUD. AudioPig does not collect your data at all. Your audiobooks and listening history stay on your iPhone. Purchases are processed by Apple. Complete privacy, all features occur entirely on device. Supported formats: MP3 and M4B (non-DRM).

Mood Reader is a book recommendation app that starts from a different question. Not what other people rated a book. Not what an algorithm decided is popular right now. It asks what a reader is in the mood for — in plain language — and returns books that match the shape of that answer. — Three things it does 01. Semantic prompts Describe what to read in plain language. "Something quiet and observant." "A romance that isn't formulaic." "Whatever will pull me out of a slump." Mood Reader returns books that match the description, ranked by fit to taste rather than by crowd rating. 02. Self Portrait A written reading of the reader — generated from the shape of a library and the reflections left along the way. Not a personality quiz. Not a genre list. Not a score. A close reading of what books, together, reveal about a reader. 03. Ambient recommendations As a library grows and one-sentence reflections accumulate, Mood Reader learns and surfaces books that fit what comes next. Every recommendation arrives with a short rationale for why it fits. — An independent app, built to be worth using No investors. No acquisition target. No ad SDKs, no analytics tools, no advertising identifiers. Mood Reader stores what a reader tells it, and nothing else. Reading history stays with the person who created it. Built by one person in Washington State. — Import from what already exists Full library imports work from Goodreads exports and Kindle libraries. Shelf photos work as a fast on-ramp. Ten favorite books is enough to start recommending. Deeper imports sharpen the results but aren't required. — Reflections instead of star ratings Star ratings summarize a book but don't say much about a reader. A one-sentence reflection ("surprised me by how much I cared about the sister") gives Mood Reader far more signal than five stars alone. Reflections stay in the reader's Master Library and shape both Self Portrait and future recommendations. — Free at launch. iOS 18 or later. iPhone only. Support: hello@moodreaderapp.com