Acorny

Acorny is a lightweight tool focused on highlight review, positioned as an alternative to Readwise. Its core philosophy is to help users remember what they read by turning saved highlights into active recall cards and combining them with spaced repetition for daily review, so that collected ideas continue to be useful.

Purpose

Acorny is mainly used to capture and review reading highlights. Users can save highlights from more than 11 sources, including web pages, Kindle, PDFs, and read-it-later tools, and then review them through active recall and spaced repetition, thereby truly remembering the content and avoiding forgetting it.

Main Capabilities

• Multi-source capture: Supports saving highlights from web pages and browser extensions, syncing Kindle notes, and importing existing reading libraries such as Readwise, Kindle, WeChat Reading, Cubox, Diigo, Moon+ Reader, and PDF files.
• Active recall cards: Turns saved highlights into recall cards in cloze or Q&A form.
• AI-assisted generation: Turns any highlight into an active recall question with one click, and the AI drafts the question, answer, and supporting citation. Users can review, edit, or discard each card and have the final say. Free monthly quota is provided during testing.
• Spaced repetition review: Based on memory performance, the review interval is extended after successful recall, and the system presents cards again when practice is needed.
• Daily review email digest: A review digest of cards due that day can be sent every morning, and users can review via email or the web app.
• Multi-platform sync: Supports Web, Android, Chrome, Firefox, and Edge, with iOS coming soon. All highlights and review progress sync across phone, web, and extensions.
• Offline review: The mobile app caches the day's review session, so users can continue even in no-network environments such as the subway.
• Daily reminders: Users can choose their own reminder time, and reminders are scheduled on the device and do not go through Acorny servers.
• Share as image: Highlights can be turned into clean card images and saved to the photo album.
• Data export: Supports exporting highlights to Markdown, JSON, or CSV at any time, or continuously syncing to Obsidian through the official plugin.

How to Use

1. Save highlights while reading: use the browser extension to highlight any web page, or sync Kindle notes, or import an existing reading library.
2. Turn highlights into revMemory Cards: You can choose to create them manually or use AI to generate questions and answers with one click.
3. Review: Receive a daily review summary email, or view due cards in the Web/Android app to practice active recall.
4. Spaced repetition: After a successful recall, the next review interval is automatically extended.

Use Cases

• Readers who want to systematically review reading highlights and improve memory retention.
• Users who already have Readwise or other highlighting tools and want to migrate or try an alternative.
• People who accumulate highlights from multiple sources such as web pages, Kindle, and PDFs and need to review them in one place.
• Learners who want to turn reading content into long-term memory through active recall and spaced repetition.

Limitations and Notes

• The iOS version has not yet been released; the official listing marks it as "coming soon."
• AI memory cards are free during the public beta, but there is a monthly free quota limit, and the quota resets automatically.
• Highlight data is private by default unless the user chooses to share it; Acorny does not sell reading data. The extension only acts on pages the user actively uses and does not track or exploit browsing history.
• Pricing information: It is currently free during the public beta, with unlimited highlight saving. If it becomes paid in the future, previously saved highlights will still be accessible and reviewable, and paid plans will apply only to new usage or premium features (such as a higher AI memory quota).
• The specific list of supported sources may change with version updates. Officially, 11+ sources are mentioned, including Readwise, Kindle, WeChat Reading, Cubox, Diigo, Moon+ Reader, and PDF files, among others.