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Features Batch Processing
Batch processing allows you to analyze multiple notes at once using predefined extraction templates, generating consolidated insights.
With batch processing, you can:
- Process many notes simultaneously
- Apply consistent analysis across your vault
- Extract specific types of information
- Generate summary reports
- Open the command palette with
Ctrl/Cmd + P - Search for "Batch process notes"
- Select the command

The batch modal provides two selection methods:
- Click on a folder in the list
- All notes in that folder will be selected
- Subfolders are included recursively
- Browse the folder tree
- Click individual notes to select/deselect
- Use
Ctrl/Cmd + Clickfor multiple selection
- Checkbox shows selection state
- Counter displays total selected notes
- Folder badges show note counts
Choose a template that matches your analysis goal:
Purpose: Summarize the main ideas from each note
Output includes:
- Main points from each note
- Common themes across notes
- Key takeaways
Best for: Research notes, meeting notes, articles
Purpose: Generate a concise summary
Output includes:
- Brief overview of content
- Most important findings
- Conclusions
Best for: Long documents, reports, documentation
Purpose: Find open questions and topics to explore
Output includes:
- Explicit questions in the notes
- Implied questions
- Areas needing research
Best for: Research notes, study materials, project planning
Purpose: List tasks and action items
Output includes:
- Explicit TODOs
- Implied tasks
- Deadlines (if mentioned)
Best for: Meeting notes, project notes, planning documents
Purpose: Create a glossary of terms
Output includes:
- Key terms and their definitions
- Technical vocabulary
- Concept explanations
Best for: Study notes, technical documentation, learning materials
Purpose: Identify relationships between notes
Output includes:
- Common themes
- Cross-references
- Potential wikilinks
Best for: Research, knowledge base building, topic exploration
- Select your notes
- Choose an extraction template
- Click Process
- Wait for completion

During processing, you'll see:
- Current note being processed
- Progress bar
- Elapsed time
- Estimated remaining time
Results are saved as a new note in your configured notes folder:
---
created: 2024-01-21
source: claudian-batch
template: extract-key-ideas
notes_processed: 5
---
# Batch Processing: Extract Key Ideas
## Summary
[Overview of findings]
## Results by Note
### Note 1 Title
- Key idea 1
- Key idea 2
### Note 2 Title
- Key idea 1
- Key idea 2
## Common Themes
- Theme 1
- Theme 2
## Related Links
- [[Note 1]]
- [[Note 2]]- Group related notes for better analysis
- Avoid mixing unrelated content
- Consider processing by folder/topic
- Match template to your goal
- "Extract key ideas" is good for general analysis
- "Connections" helps build your knowledge graph
- Processing time increases with note count
- Consider splitting very large batches
- API costs increase with more notes
Batch processing sends each note to Claude for analysis:
- Each note = one API call
- Token usage depends on note length
- Consider note count and length for cost
- Process fewer notes at once
- Use Claude 3.5 Haiku for simpler extractions
- Reduce max tokens in settings
- Maximum notes per batch depends on API limits
- Very long notes may be truncated
- Processing large batches takes time
- Each template produces a specific output format
Process all notes from a research topic to:
- Identify key themes
- Find gaps in your knowledge
- Generate a literature summary
Process project notes to:
- Extract all action items
- Find open questions
- Generate status summary
Process course notes to:
- Create concept glossary
- Identify key topics
- Find areas needing review
Process a folder to:
- Find connections between notes
- Identify orphan notes
- Discover linking opportunities
- Chat Interface - Individual conversations
- Concept Maps - Visual relationship mapping
- Configuration - Adjust processing settings
Claudian - The ultimate Claude AI integration for Obsidian
MIT License · Developed by Enigmora SC · GitHub