Users can define specific validation rules (e.g., "Field X must be alphanumeric," "Field Y cannot be empty") via a simple graphical interface, allowing the extractor to act as a quality-control gate [1]. 2. Why This is a "Solid" Feature

Gives users control over defining what "valid" means for their specific industry or workflow. 3. Technical Implementation Strategy Workflow: Data Source →right arrow Extraction Engine →right arrow [NEW: Validation Engine] →right arrow User Review Interface →right arrow Final Output.

Instead of just checking if a field exists, the tool checks if the data makes sense (e.g., checking if an extracted date is in the future, if a price is logically within a certain range, or if a zip code matches the state).

Featured Development Proposal:

Valistractor-download-latest-version-softfiler Apr 2026

Users can define specific validation rules (e.g., "Field X must be alphanumeric," "Field Y cannot be empty") via a simple graphical interface, allowing the extractor to act as a quality-control gate [1]. 2. Why This is a "Solid" Feature

Gives users control over defining what "valid" means for their specific industry or workflow. 3. Technical Implementation Strategy Workflow: Data Source →right arrow Extraction Engine →right arrow [NEW: Validation Engine] →right arrow User Review Interface →right arrow Final Output. valistractor-download-latest-version-softfiler

Instead of just checking if a field exists, the tool checks if the data makes sense (e.g., checking if an extracted date is in the future, if a price is logically within a certain range, or if a zip code matches the state). Users can define specific validation rules (e

Featured Development Proposal:

or

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