Data Table Management
Review, edit, and organize extracted data. Advanced table features for data quality control.
Data Table Interface
Table Overview
Your extracted data appears in a powerful, spreadsheet-like interface:
Data Table View
┌─────────────────────────────────────────────────────────┐
│ Search Filter Export Settings │
├─────────────────────────────────────────────────────────┤
│ ✓ | File Name | Customer | Date | Amount │
├─────────────────────────────────────────────────────────┤
│ ✓ | invoice_001 | Acme Corp | 01/15/24 | $1,250 │
│ ✓ | invoice_002 | Beta LLC | 01/16/24 | $875 │
│ ✓ | receipt_001 | Office Max | 01/17/24 | $45 │
└─────────────────────────────────────────────────────────┘
Key Features:
- Sortable columns - Click headers to sort
- Bulk selection - Select multiple rows
- Inline editing - Double-click to edit cells
- Real-time validation - Instant error checking
Editing Data
Inline Editing
Quick Cell Editing:
Bulk Editing
Edit Multiple Records:
- Select rows - Check boxes for multiple entries
- Bulk actions - Apply changes to all selected
- Find & replace - Update similar values across rows
- Column operations - Apply formulas to entire columns
Example Bulk Operations:
- Update category for 50 receipts
- Apply 10% discount to all line items
- Change date format across all records
- Standardize customer names
Search & Filter
Advanced Search
Search Options:
- Global search - Find text anywhere in table
- Column search - Search within specific fields
- Date ranges - Filter by date periods
- Number ranges - Filter by amount ranges
Search Examples:
- "Acme" → Find all Acme Corp records
- Amount: greater than $1000 → Show high-value transactions
- Date: Last 30 days → Recent records only
- Status: "Pending" → Incomplete extractions
Smart Filters
Pre-built Filters:
- Recent uploads - Last 7 days
- High confidence - >90% accuracy
- Needs review - Low confidence or errors
- Large amounts - Above threshold values
Custom Filters:
Create Filter: "Q1 Invoices"
├── Date: Jan 1 - Mar 31, 2024
├── Document Type: Invoice
├── Amount: >$500
└── Status: Complete
Data Quality Control
Validation Rules
Automatic Validation:
- Required fields - Highlight missing data
- Format checking - Validate emails, phones, dates
- Range validation - Check min/max values
- Business rules - Custom validation logic
Validation Indicators:
- Valid data - Green checkmark
- Warning - Yellow triangle (review recommended)
- Error - Red X (requires correction)
- Uncertain - Blue question mark (low confidence)
Confidence Scoring
AI Confidence Levels:
- 95-100% - High confidence, likely accurate
- 80-94% - Good confidence, minor review needed
- 60-79% - Medium confidence, review recommended
- Less than 60% - Low confidence, manual verification required
Confidence Actions:
High (95%+): Auto-approve
Good (80-94%): Quick review
Medium (60-79%): Detailed review
Low (<60%): Manual correction
Table Customization
Column Management
Show/Hide Columns:
- Essential columns - Always visible
- Optional columns - Toggle on/off
- Custom columns - Add calculated fields
- Column groups - Organize related fields
Column Operations:
- Resize columns - Drag column borders
- Reorder columns - Drag column headers
- Sort columns - Click header to sort
- Pin columns - Keep important columns visible
Display Options
View Modes:
- Compact view - More rows visible
- Comfortable view - Easier reading
- Detailed view - Show all field data
- Card view - Document-style layout
Color Coding:
- Complete records - Green background
- Needs review - Yellow background
- Errors - Red background
- New uploads - Blue background
Data Analysis
Summary Statistics
Automatic Calculations:
- Total records - Count of all entries
- Sum totals - Add up currency fields
- Average values - Mean calculations
- Date ranges - First and last dates
Example Summary:
Invoice Summary
├── Total Records: 156
├── Total Amount: $45,780
├── Average Invoice: $293
├── Date Range: Jan 1 - Mar 31
└── Confidence: 92% average
Trend Analysis
Built-in Charts:
- Amount over time - Revenue trends
- Volume by category - Document types
- Accuracy trends - Extraction quality
- Processing speed - Performance metrics
Data Operations
Export Options
Export Formats:
- CSV - Spreadsheet compatible
- Excel - Full formatting preserved
- JSON - API and development use
- PDF - Formatted reports
Export Settings:
Export Configuration
├── Include all columns
├── Filter applied data only
├── Include confidence scores
├── Add summary statistics
└── Custom date range
Import/Merge
Data Import:
- CSV import - Add external data
- Excel import - Merge spreadsheets
- API import - Connect external systems
- Manual entry - Add records directly
Merge Options:
Merge Strategy
├── Append new records
├── Update existing records
├── Replace all data
└── Smart merge (detect duplicates)
Advanced Features
Linked Records
Document Relationships:
- Multi-page invoices - Link related pages
- Purchase orders - Connect PO to invoice
- Receipt matching - Link receipts to expenses
- Customer grouping - All records per customer
Calculated Fields
Formula Support:
Line Total = Quantity × Unit Price
Tax Amount = Subtotal × Tax Rate
Days Overdue = Today - Due Date
Profit Margin = (Revenue - Cost) / Revenue × 100
Field Types:
- Mathematical - Sum, average, multiply
- Date calculations - Age, duration, intervals
- Text operations - Concatenate, extract, format
- Conditional logic - If/then statements
Data Templates
Reusable Configurations:
- Column layouts - Save preferred views
- Filter sets - Quick filter application
- Export formats - Standardized reports
- Validation rules - Consistent quality control
💡 Best Practices
Quality Management
- Review low confidence - Check less than 80% accuracy scores
- Validate calculations - Verify totals and formulas
- Standardize formats - Consistent data entry
- Regular cleanup - Remove duplicates and errors
Organization
- Use filters - Focus on relevant data
- Group similar records - Organize by type or date
- Pin important columns - Keep key data visible
- Save views - Create reusable table configurations
Monitoring
- Track accuracy trends - Monitor extraction quality
- Review error patterns - Identify common issues
- Monitor processing speed - Optimize workflow
- Regular exports - Backup important data
Ready to manage your extracted data? Access your project table and start organizing!