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Transform documents into structured data with AI-powered precision. Extract, convert, and organize your business documents effortlessly.

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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!

On This Page

  • Data Table Interface
  • Table Overview
  • Editing Data
  • Inline Editing
  • Select Cell
  • Make Changes
  • Save Changes
  • Validation Check
  • Bulk Editing
  • Search & Filter
  • Advanced Search
  • Smart Filters
  • Data Quality Control
  • Validation Rules
  • Confidence Scoring
  • Table Customization
  • Column Management
  • Display Options
  • Data Analysis
  • Summary Statistics
  • Trend Analysis
  • Data Operations
  • Export Options
  • Import/Merge
  • Advanced Features
  • Linked Records
  • Calculated Fields
  • Data Templates
  • 💡 Best Practices
  • Quality Management
  • Organization
  • Monitoring