Prevents invalid data from entering the user's CRM or database.
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 valistractor-download-latest-version-softfiler
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. Prevents invalid data from entering the user's CRM
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). Why This is a "Solid" Feature Gives users
is highlighted in yellow for user review, ensuring automation doesn't override accuracy [1].
Offer common validation templates (e.g., Email Validator, Invoice Validator, Date Formatter).