TableFlow
Data Validation

Combine AI Efficiency With Human Expertise

Use AI to verify document information and TableFlow's review interface allows your team to quickly validate and correct extractions, ensuring accuracy for mission-critical data.

How Data Validation Works

TableFlow uses three layers of validation: rule-based checks, AI verification, and human review to ensure your data is accurate and complete.

1

Rule-Based Validation

Apply format checks, ranges, regex patterns, and business logic to catch errors instantly

2

AI Verification

AI compares extracted data against source documents, flagging discrepancies by severity

3

Human Review

Side-by-side interface shows original and extracted data for quick validation and edits

4

Clean Output

Validated data flows to your systems with complete edit history and audit trail

Validation Capabilities

Comprehensive validation tools to ensure data quality at every step.

Rule-Based Validations

Configure field-level rules: email formats, phone numbers, regex patterns, number ranges, decimal places, required fields, and custom lists. Set severity levels (error, warning, info) for different validation rules.

AI-Powered Verification

TableFlow AI compares extracted data against the original document using Gemini's multimodal capabilities. Catches missing rows, incorrect values, OCR errors, and mapping mistakes with detailed issue reporting.

Side-by-Side Review Interface

View original documents alongside extracted data. Click fields to see attribution with bounding boxes. Edit extracted values inline. Add notes and track all changes with complete edit history.

Multi-Step Workflow Support

Integrate validation into multi-step flows. Route low-confidence extractions to review queues. Track row-level status (created, accepted, rejected). Export validated data to your systems automatically.

The Value to Your Business

Three-layer validation delivers the accuracy you need with the efficiency you want.

100% Accuracy

Achieve perfect accuracy for critical documents with targeted human review of AI-flagged fields.

Build Trust

Transparent validation process with complete audit trails maintains compliance and stakeholder confidence.

Full Visibility

Track every change and decision. Complete audit logs for compliance and quality control.

Scale Efficiently

Focus human expertise where it matters. AI handles routine validation, humans handle exceptions.

Data Validation FAQ

Common questions about AI-powered validation and human review

Ready for 100% Accurate Data Extraction?

See how TableFlow combines AI efficiency with human accuracy for perfect results.