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StudyFetch: Make Learning Easy

StudyFetch: Make Learning Easy

Study Fetch

Education免费v2.1.20
App Store
评分

4.8

10,242 条评分

星级

★★★★★

最近更新

2026年5月7日

发布日期

2024年9月4日

更新内容

v2.1.20

Bug Fixes & Optimizations.

应用信息

开发者
Study Fetch
分类
Education
价格
免费
版本
2.1.20
App ID
6663574866

简介

Designed by learning experts and used by millions of students worldwide, StudyFetch turns any course material into an interactive study experience so you can spend less time reviewing and more time actually learning. Upload lectures, PDFs, slides, or videos. StudyFetch instantly transforms them into flashcards, quizzes, detailed notes, and personalized learning sessions. No more re-reading the same page and hoping something sticks. How It Works: Drop in your material and Spark.E, your personal AI tutor, creates a comprehensive study plan, breaking it down into the study formats proven to help you retain information so you're always learning in the way that works best. StudyFetch Features: · AI-generated flashcards, quizzes, and detailed notes from any material you upload · Spark.E, a personal AI voice-to-voice tutor you can talk with anytime, on any topic · Real-time lecture recording that transcribes and creates notes as you learn · Progress tracking, achievements, and daily streaks to keep you consistent · Support for 20+ languages Why StudyFetch? StudyFetch doesn't just create your notes; it helps you learn them. Every feature is meticulously designed to move information from short-term recall to long-term understanding. Millions of students worldwide use StudyFetch to prepare for exams, master course content, and build real knowledge. Whether you're in high school, university, or learning on your own, StudyFetch adapts to how you study. StudyFetch is backed by The College Board. The platform was created to help people actually learn, unlike other AI study platforms that give you the answer and cater to passive consumption. App EULA: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

下载量预测

专业 · 预览

预估总下载量

759K512K1.5M
保守估计乐观估计

24K

低 / 月

36K

预估 / 月

70K

高 / 月

基于10,242 条评分
假设评分率1.4%
应用年龄21 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。