Mochi
Mochi is a minimal flashcard app for desktop, mobile and the web. You write cards in Markdown, like notes, and grade each review as remembered or forgotten. It works offline first and is free; sync between devices needs Pro.
Which platforms does Mochi run on?
Mochi runs on Mac, Windows, Linux, iPhone, iPad and Android, and in a browser. It works offline first: cards are saved on your device, and you need no account to start. Syncing between devices needs Pro. On the free plan, the web version keeps cards in the browser, which can clear them without warning.
| Platform | Notes |
|---|---|
| Web | Without Pro, cards are stored in the browser, which can clear them without warning. |
| iPhone and iPad | iPhone and iPad; requires iOS 15.6 or later. |
| Android | On Google Play, or as a direct download. |
| Mac | Direct download for Apple silicon and Intel. |
| Windows | Direct download. |
| Linux | AppImage download. |
How does Mochi schedule reviews?
By default, Mochi uses its own simple algorithm: remembering a card lengthens its interval by a fixed multiplier, and forgetting shortens it. You can switch to FSRS and choose a target retention. Either way, you grade each card with two buttons: Remembered or Forgot. You can also limit new cards per day and set a maximum interval.
What cards can you make in Mochi?
In Mochi, cards are Markdown documents, with a line of --- between the sides. Templates with fields help you make many similar cards, and cards can link to each other like notes. Cloze deletions, image occlusion, type-in answers and reversed cards are supported. Cards can hold images, audio, video, maths and code.
- Shared decks
- Pro users can publish a deck as a public link that others can clone. Decks can also be shared as .mochi files on any plan.
- Import
- Anki packages (.apkg) with review history, Mochi files, Markdown and CSV. Anki styling and scripts are removed.
- Export
- Mochi files with review history, Markdown and CSV.
- Add-ons and integrations
- A public HTTP API with Pro, a web clipper for Chrome and Firefox, and community integrations such as an Obsidian plugin.
How does Mochi track your progress?
Mochi’s dashboard shows your daily reviews and study time, a forecast of upcoming reviews, the spread of review intervals and a review heatmap. You can filter it by deck or date.
Is Mochi free?
Yes: Mochi is free with unlimited cards and decks, offline use, and import and export. Pro adds sync between devices, deck publishing, the HTTP API and much larger AI and language allowances. It costs US$6 a month, or US$60 a year.
| Free | Pro | |
|---|---|---|
| Price | Free | US$6 a month or US$60 a year |
| Cards and decks | Unlimited | Unlimited |
| Sync across devices | No | Yes, with 10 GB of storage |
| Publish decks and API access | No | Yes |
| AI completion | 5,000 tokens a month | 500,000 tokens a month |
| Text to speech | 200 characters a month | 200,000 characters a month |
What are Mochi's strengths and limits?
Strengths
- Cards written in Markdown, with templates and links between cards
- Free with unlimited cards, offline use, and import and export
- Imports Anki decks with their review history
- Apps on every major platform
Limits
- Sync between devices needs Pro
- Only two grading buttons
- FSRS has no built-in optimizer
- No large shared deck library
Who is Mochi best for?
Mochi is best for people who like plain, text-based tools and want flashcards that work like notes, with quick reviews. People who already write in Markdown, such as programmers and note-takers, are its most natural fit, along with language learners who use its dictionary and text-to-speech.
Our review
Mochi is a calm, minimal flashcard app. Cards are written in Markdown, so making one feels like writing a note, and templates handle repeated structures. Two-button grading keeps reviews quick.
The free plan is generous, but without sync it suits a single device. The default algorithm is simple, and FSRS is available without a built-in optimizer.
It suits people who want a clean, flexible tool and don’t need Anki’s add-ons or large library of shared decks.