ReaderFlow

A clean, offline-first reading experience, fully private and on your device. Save articles, sync across devices, and enjoy distraction-free reading anywhere.

Download on the App Store

Get it on Google Play

Why Choose ReaderFlow?

Built with privacy and performance in mind

100% Offline Reading

All content is processed and stored locally on your device. No internet required for reading your saved articles.

Smart Sync

Sync your reading list across all devices using Dropbox (Android, iOS & macOS) or iCloud (iOS & macOS).

On-Device Parsing

Content extraction happens locally, ensuring a fast reading experience and complete privacy.

Easy CSV Import

Migrate from any read-it-later service with flexible CSV import. Supports Pocket, Instapaper, Omnivore, and custom formats.

Smart Organization

Tag your articles, archive when done, and find content quickly.

Cross-Platform

Available on Android, iOS, and macOS with feature parity. Your reading experience stays consistent everywhere.

Now Available on macOS

Experience the same powerful, distraction-free reading on your Mac

The native macOS app brings all of ReaderFlow's features to your desktop. Enjoy a clean reading experience that seamlessly syncs across all your devices.

Download on the Mac App Store

Import Your Reading List

Migrate from any read-it-later service with our flexible CSV import. ReaderFlow supports CSV exports from popular services like Pocket, Instapaper, Omnivore, and custom CSV formats.

CSV Format Requirements

ReaderFlow's flexible parser automatically detects column names and formats. Here's what you need to know:

Only URLs are required! All other columns are optional and will enhance your import.

URL

Required

The web address of your saved article. This is the only mandatory field.

Supported column names:

url URL

Title

Optional

The title of your article. If not provided, ReaderFlow will extract it automatically.

Supported column names:

title Title

Tags/Labels

Optional

Tags or categories for organizing your articles. Supports multiple formats and separators.

Supported column names:

tags tag Tags labels

Separators: Use commas , or pipes | to separate multiple tags

Status/State

Optional

The reading status of your article. Articles marked as archived will be imported as read.

Supported column names:

state status Folder

Archive values: archive, Archived, or Archive

Date Added

Optional

When the article was originally saved. Preserves your reading history timeline.

Supported column names:

time_added Timestamp

Format: Unix timestamp (seconds since epoch). If not provided, uses current time.

📋 Example CSV Format

Here's a sample CSV that demonstrates the format. Remember: only the URL column is required!

url,title,tags,state,time_added
https://example.com/article1,"Great Programming Article","programming,tutorial",unread,1640995200
https://example.com/article2,"Design Patterns Guide","programming|design,patterns",archive,1640908800
https://example.com/article3,"Quick Read",,unread,1640822400