Read Later Pro#

Save, organize, and read web articles offline. Extract clean article content from any URL and export to multiple formats.

Features#

• Article Extraction: Clean, readable content from any URL (removes ads, navigation, clutter)
• Multiple Formats: Export to Markdown, PDF, EPUB, or HTML
• Reading List Management: Organize saved articles with tags and search
• Batch Processing: Save multiple articles at once
• Offline Reading: Full-text search across saved articles
• Service Integration: Import from Pocket, Instapaper (export coming soon)

Quick Start#

Save a Single Article#

bash

# Save article as Markdown
read-later save <url> --format markdown --output ./articles/

# Save as PDF
read-later save <url> --format pdf --output ./articles/

# Save with tags
read-later save <url> --tags "tech,ai" --output ./articles/

Batch Save Articles#

bash

# From a list of URLs in a file
read-later batch --file urls.txt --format markdown --output ./articles/

# From browser bookmarks export
read-later import-bookmarks bookmarks.html --tags "imported"

List and Search Saved Articles#

bash

# List all articles
read-later list

# Search articles
read-later search "machine learning"

# Filter by tags
read-later list --tags "tech"

Export/Convert Saved Articles#

bash

# Convert saved article to different format
read-later convert <article-id> --format epub

# Export all articles as single PDF
read-later export --format pdf --output reading-collection.pdf

Article Storage#

Articles are stored with metadata:

text

articles/
├── article-slug/
│   ├── article.md       # Main content (Markdown)
│   ├── article.pdf      # PDF version (if generated)
│   ├── metadata.json    # Title, URL, date, tags, etc.
│   └── images/          # Downloaded images

Integration with Read-Later Services#

Import from Pocket#

bash

read-later import-pocket --consumer-key <key> --access-token <token>

Import from Instapaper#

bash

read-later import-instapaper --username <user> --password <pass>

Reading Workflow#

1. Save: Use read-later save to capture articles throughout the day
2. Organize: Add tags and notes to categorize content
3. Read: Open Markdown files in any text editor or viewer
4. Search: Use read-later search to find specific content
5. Archive: Move read articles to archive or delete

Scripts#

Use the provided scripts in scripts/ directory:

• extract_article.py - Extract clean article content from URL
• convert_format.py - Convert between Markdown/PDF/EPUB/HTML
• manage_library.py - List, search, and organize saved articles
• import_services.py - Import from Pocket/Instapaper

Tips#

• Use --full-content flag to attempt bypassing paywalls (experimental)
• Images are downloaded locally for true offline reading
• Full-text search works across all saved article content
• Tags support nesting: "tech/ai", "tech/programming"