n8n templatesn8n templates

Google Keep Notes Intelligent Export and Data Organization Workflow

This workflow automates the export and organization of notes from Google Keep. By automatically filtering and parsing content, it intelligently extracts important information and stores it in a structured format in Google Sheets. Utilizing AI technology, it efficiently identifies key information in the notes, such as amounts, significantly enhancing the accuracy and efficiency of data analysis. It is suitable for both individual and team note management, particularly in the fields of financial analysis and decision support, helping users save time and optimize information utilization.

Workflow Diagram
Google Keep Notes Intelligent Export and Data Organization Workflow Workflow diagram

Workflow Name

Google Keep Notes Intelligent Export and Data Organization Workflow

Key Features and Highlights

This workflow automates the filtering, content parsing, and intelligent information extraction of notes exported from Google Keep, ultimately saving the structured data into Google Sheets. By integrating Google Drive, OpenAI’s GPT-4 model, and Google Sheets, it achieves automated and intelligent note management. It specifically supports extracting key information such as monetary amounts from notes, facilitating financial or content analysis.

Core Problems Addressed

  • Automates batch processing of Google Keep notes exported in JSON format, significantly reducing the time and effort required for manual filtering and data entry.
  • Utilizes AI to intelligently identify important information within notes (e.g., monetary amounts), improving the accuracy and efficiency of data analysis.
  • Enables structured storage of note data, simplifying subsequent data aggregation, querying, and sharing.

Use Cases

  • Individuals or teams needing to organize and analyze large volumes of Google Keep notes.
  • Financial managers automatically summarizing expenditure information recorded in notes.
  • Scenarios requiring conversion of unstructured note content into tabular data for data-driven decision-making and report generation.
  • Support tool for note archiving and intelligent extraction in education, project management, content creation, and related fields.

Main Workflow Steps

  1. Manual Workflow Trigger: Initiate the process via the “Test workflow” node.
  2. Search Specified Google Drive Folder: Locate the “Keep” folder containing exported Google Keep notes.
  3. Batch Loop Processing: Process files in batches of 10 per execution.
  4. Filter JSON Format Files: Ensure only note files meeting the JSON format criteria are processed.
  5. Download and Parse File Content: Extract content from the JSON note files.
  6. Content Filtering: Select notes that are not archived (isArchived = false) and optionally filter by keywords such as “dépensé” or “depense.”
  7. Invoke OpenAI GPT-4 Model for AI Processing: Intelligently extract monetary amounts or customize content extraction as needed.
  8. Organize Export Fields: Include note text content, last edited time, creation time, archive status, and extracted monetary data.
  9. Write Structured Data to Google Sheets: Archive and aggregate the note data within a spreadsheet.

Systems and Services Involved

  • Google Drive: Storage and management of Google Keep exported note files.
  • Google Keep: Original source of note data.
  • OpenAI GPT-4 (LangChain Integration): For intelligent content understanding and information extraction.
  • Google Sheets: Structured storage and presentation of the organized note data.
  • n8n Automation Platform: Workflow scheduling and node orchestration.

Target Users and Value

  • Individual Users: Seeking efficient management and analysis of their Google Keep notes, especially financial-related content.
  • Small Teams and Businesses: Automating the organization of shared notes to enhance information utilization.
  • Finance and Accounting Personnel: Automatically extracting expenditure amounts to support budgeting and reimbursement processes.
  • Content Organizers and Data Analysts: Converting unstructured notes into structured data for easier downstream processing.
  • Automation and Data-Driven Workflow Enthusiasts: Learning and applying multi-system integration and AI-powered intelligent processing techniques through this workflow.

This workflow significantly reduces manual labor in note data organization while providing deeper insights through AI-driven analysis. It is ideal for users aiming to transform notes into actionable data assets. For customization support or inquiries, please contact the workflow author at: thomas@pollup.net.