Getting Started
Start with the InboxWithAI demo, upload a list, review the AI cleaning summary, then continue into SMTP validation or exports depending on your workflow.
Upload CSV/TXT file
Upload CSV or TXT lists from the dashboard or Chrome extension. InboxWithAI preserves your original columns and prepares the file for validation, review, and export.
AI Cleaning Workflow
AI cleaning reviews syntax, duplicates, role-based usage, disposable signals, risk patterns, domain intelligence, and public presence signals to separate clean, risky, and invalid records.
SMTP Validation Workflow
Once you are ready for deeper verification, continue to SMTP validation to review mailbox-level responses, catch-all indicators, and deliverability-focused outcomes.
Risk Categories
InboxWithAI groups records into clean, risky, invalid, and reference-driven categories so teams can quickly decide which addresses to keep, review, suppress, or exclude before campaign launch.
Dashboard & Reports
Use the dashboard to monitor total uploads, validation summaries, risk distributions, recent validations, and list activity in one place without losing your original workflow context.
CSV Export
Export clean, risky, invalid, or stage-specific files with preserved original columns and appended InboxWithAI result columns for CRM import, review, or internal reporting.
API Access
API access is designed for automation, internal workflows, and future integrations so teams can connect InboxWithAI with their own systems, validation pipelines, and app experiences.
Self-Hosted Deployment
Paid self-hosted plans include protected installer access, license activation, and support windows so customers can run InboxWithAI on their own infrastructure with controlled access.
FAQs
Do I need a demo first? The demo is recommended so you can review the interface and list workflow before purchase.
Can I preserve original columns? Yes. InboxWithAI preserves original CSV columns and appends result fields.
Can I use local cleaning first? Yes. The Chrome extension supports local cleaning before continuing to server-side analysis.