Bundle

Bundle is a read-later app for iPhone that saves articles, asks questions, and turns the answers into review cards.

Bundle is a read-later application designed to help users retain information from the articles they save. When reading is finished, the app asks questions and turns the answers into review cards using AI. It sorts saved links into topics automatically and supports offline reading and text highlighting. Users can also listen to articles with a natural voice player that continues playing in the background. The platform uses spaced repetition to schedule card reviews just before the user forgets the material.

Bundle at a glance

Best for: Researcher, Student
Runs on: Web, iOS, Android, Chrome extension
Pricing: Free trial for 14 days
Released: November 2026
Category: AI productivity tool
Website: bundle.ink

Key features

Save articles from any app
Read offline and highlight text
Listen to articles with natural voice
Answer questions to create review cards
Automatic topic sorting with AI
Spaced repetition card scheduling with FSRS
Daily review reminders

Use it for

Saving and organizing online articles
Listening to long-form reads on the go
Reviewing key information using flashcards
Retaining knowledge through spaced repetition

Alternatives to Bundle

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Lecta — Converts class PDFs, photos, and recordings into interactive study materials.
NoteWorthy — It uses private on-device artificial intelligence without accounts or uploads.
Fluence — Converts documents into audio and keeps all data on your phone.
Ace — Generates verified four-option quiz questions from your own study materials.
FSRS for Anki — It optimizes spaced repetition schedules using machine learning on review data.
Arc AI — Acts directly on the current screen without copying, pasting, or app switching.
Earnote — Local transcription and AI generation keep recordings and data private on device.
AnkiDecks — It generates flashcards from various file types and YouTube videos instantly.
Spilr — Private AI journaling with mood tracking and secure local data handling.

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