Saved capture
Smart Capture saves a still image and confirms the capture. Camera frames alone are not treated as completed lead records.
How ZeroScanX works
ZeroScanX separates extraction, operator review, backend authorization, evidence reasoning, and result proof so every stage has one clear responsibility.
The complete path
The app does not skip directly from camera text to a quality claim. Each record moves through a controlled sequence before completed results are shown.
Smart Capture saves a still image and confirms the capture. Camera frames alone are not treated as completed lead records.
On-device text recognition reads the saved image. Geometry-aware reconstruction groups rows and contact regions before lead candidates are formed.
The pre-validation workspace shows captured contact fields, allows correction, and displays the Credit balance and selected validation cost.
The app submits only validation-ready records. Backend authority verifies identity, wallet state, request shape, and available Credits before validation proceeds.
Available phone, email, address, duplicate, and provider evidence is correlated. Explanations organize backend facts without replacing the backend score.
A completed result appears only after the backend returns completed status, quality scores, a remaining Credit balance, and receipt creation proof.
Clear authority
Local engines improve capture, grouping, and explanation. They cannot authorize spending, fabricate provider evidence, or overwrite backend-confirmed results.
Capture intelligence
The extraction path uses saved-image text geometry to avoid treating every detected phone number as a separate person.
Repeated row geometry anchors names, phones, emails, and addresses to the correct row without merging neighboring contacts.
Multiple phone numbers, organization, title, email, and address inside one contact region remain attached to one candidate.
Strong normalized phone, email, and contact evidence can update an existing candidate instead of multiplying the same contact.
High-confidence government-ID regions are excluded without blocking legitimate contact regions elsewhere in the same image.
Customer-facing truth
Quality score does not turn unknown evidence into a positive result. Each field uses only its own completed check.
Privacy architecture
The validation receipt is designed around sanitized metadata, reason codes, status, timestamps, score output, and audit references rather than raw capture content.
Saved-image OCR and field reconstruction occur in the app capture path before selected records enter backend validation.
Receipt metadata preserves lineage and proof fields while raw OCR text and raw images are excluded from the validation receipt contract.
Missing or failed evidence is represented as unavailable rather than silently converted into a negative or positive customer claim.
Current testing access
Join the active beta for iPhone, iPad, or Android. Testing access may be limited by account eligibility.