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A Table is a content type for managing structured data in a database-like format. You can use it for task management, reading logs, customer records, and any information that can be organized into rows and columns.
Creating a table in Memoreru is a 3-step process.
Design your table's structure and data. This step has two tabs.
Define the columns of your table. This determines the table's structure.
Method 1: Define manually
For each column, configure the following:
Method 2: AI-assisted design
The AI Table Designer lets you describe your table in plain language and automatically generates an optimal structure.
How to use it:
What the AI suggests:
Advantages:
Limitations:
Tips:
Example:
Input: "I want to create a table for managing my reading list"
→ AI suggests the following columns:
- Book Title (string, required)
- Author (string, required)
- Rating (rating)
- Date Read (date)
- Notes (rich_text)
- Genre (select: Fiction, Business, Technical, Essay, Other)
- Page Count (number)
- Reading Status (select: Unread, Reading, Finished)
| Data Type | Description | Example Use |
|---|---|---|
| string | Short text | Names, titles |
| rich_text | Rich text | Long notes, descriptions |
| number | Numeric values | Amounts, quantities |
| date | Date | Deadlines, birthdays |
| select | Single selection | Status, priority |
| multi_select | Multiple selections | Tags, categories |
| rating | Star rating | Ratings, satisfaction |
| checkbox | Checkbox | Done / Not done |
| image | Image | Photos, screenshots |
| file | File | PDFs, documents |
| url | URL | Website links |
For all 30 data types, see Data Types and How to Use Them.
Example: Column definitions for a Reading List
1. Book Title (string, required)
2. Author (string, required)
3. Rating (rating)
4. Date Read (date)
5. Notes (rich_text)
6. Genre (select: Fiction, Business, Technical, Other)
7. Recommendation Score (number, 0-10)
8. Cover Image (image)
You can enter initial data when creating the table.
Example: Initial data for a Reading List
| Book Title | Author | Rating | Date Read | Genre |
|------------|--------|--------|-----------|-------|
| The Art of Readable Code | Boswell & Foucher | ⭐⭐⭐⭐⭐ | 2025-10-15 | Technical |
| How to Win Friends | D. Carnegie | ⭐⭐⭐⭐ | 2025-09-20 | Business |
Set the basic information for your table.
Example:
Title: Reading List 2025
Description: A record and rating of books read in 2025
Category: Reading
Parent folder: Personal
Choose the visibility level for your table.
Once you are done, click the "Create" button to save your table.
Your created table is displayed in a spreadsheet-like format.
Screen layout:
| Screen Area | What You See |
|---|---|
| Top | Table name and the Edit button |
| Below that | Search, Filter, Sort, and "+ New Row" buttons |
| Center | The data list (rows under the column headers) |
Click a column header to access the following options:
Each row has a set of operation buttons on the right side of the table. From left to right, the buttons are Add, Duplicate, Edit, History, and Delete. Delete is the only button with a color accent; the other buttons are shown in a subdued gray.
You can bulk import data from a CSV file. Select "CSV Import" from the menu in the upper right of the table screen and upload your file.
Warning: Deleting a column permanently removes all data in that column.
Table name: Task Management
Column definitions:
- Task Name (string, required)
- Description (rich_text)
- Status (select: Not Started, In Progress, Done, On Hold)
- Priority (select: High, Medium, Low)
- Assignee (user_select)
- Due Date (date)
- Completion Date (date)
- Progress (progress)
- Checklist (multi_select)
Sample data:
| Task Name | Status | Priority | Assignee | Due Date | Progress |
|-----------|--------|----------|----------|----------|----------|
| Implement login feature | In Progress | High | Tanaka | 2025-11-20 | 70% |
| API design | Done | High | Sato | 2025-11-15 | 100% |
| Design mockup | Not Started | Medium | Suzuki | 2025-11-25 | 0% |
Table name: Reading List 2025
Column definitions:
- Book Title (string, required)
- Author (string, required)
- Rating (rating)
- Date Read (date)
- Page Count (number)
- Genre (select: Fiction, Business, Technical, Essay, Other)
- Recommendation Score (number, 1-10)
- Cover Image (image)
- Notes (rich_text)
- Purchase Link (url)
- Reading Status (select: Unread, Reading, Finished)
Sample data:
| Book Title | Author | Rating | Date Read | Genre | Score | Status |
|------------|--------|--------|-----------|-------|-------|--------|
| The Art of Readable Code | Boswell | ⭐⭐⭐⭐⭐ | 2025-10-15 | Technical | 10 | Finished |
| How to Win Friends | Carnegie | ⭐⭐⭐⭐ | 2025-09-20 | Business | 9 | Finished |
| Clean Architecture | Martin | - | - | Technical | - | Reading |
Table name: Customer Management
Column definitions:
- Company Name (string, required)
- Contact Person (string, required)
- Email Address (string)
- Phone Number (string)
- Address (string)
- Customer Status (select: Lead, In Negotiation, Contracted, Lost)
- Plan (select: Free, Standard, Business)
- Monthly Amount (number)
- Contract Start Date (date)
- Next Follow-up Date (date)
- Account Manager (user_select)
- Notes (rich_text)
Sample data:
| Company | Contact | Status | Plan | Monthly | Manager |
|---------|---------|--------|------|---------|---------|
| Company A | Taro Yamada | Contracted | Business | $500 | Sato |
| Company B | Hanako Suzuki | In Negotiation | Standard | - | Tanaka |
| Company C | Jiro Takahashi | Lead | - | - | Sato |
Define just the essential columns at first and add more as needed.
For large tables, use the View feature to extract only the data you need.
Example:
Table: Task Management
View 1: Incomplete Tasks (Status = "Not Started" OR "In Progress")
View 2: Due This Week (Due Date = this week)
View 3: High Priority Tasks (Priority = "High")
Turning your table data into graphs makes progress easy to see at a glance.
Example:
Table: Task Management
Graph: Tasks by Status (Pie Chart)
Graph: Progress by Assignee (Bar Chart)
A: It depends on your plan.
A: It depends on your plan.
A: Yes, CSV export is available. Select "CSV Export" from the menu in the upper right of the table screen.
A: Yes, CSV import is available. Select "CSV Import" from the menu in the upper right of the table screen and upload your file.
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