When you’re under pressure to scale multilingual content without blowing budgets, ambiguity in the pricing of AI translation solutions makes understanding your financial commitment difficult. You have questions like: What will this project actually cost? How will I be charged? Are there any hidden fees?
Verify removes guesswork with transparent pricing and user controls to dial speed and quality up or down.
Verify’s pricing is designed to give you clarity, control, and a direct line between what you use and what you pay for. The model has four parts, each mapped to how teams actually create and manage multilingual content:
If you escalate content for expert review, those jobs are charged in tokens. The platform shows the estimated token cost before you submit a review, so you always know what to expect.
This hybrid model makes it easy to predict your spend while still giving you the flexibility of usage-based pricing — a structure that aligns costs directly with output and quality.
Treat tokens, languages, and human-review rate as your unit drivers. The FinOps community recommends pinning spend to clear unit metrics – exactly what tokens provide.
Typical drivers to capture:
Combine your platform plan + (expected token consumption × token rate) + human verification for the content you escalate.
If you prefer committed budgets rather than pure usage, ask us about invoice billing. It consolidates your monthly activity into one predictable statement.
Use Settings → Usage to monitor balances and export usage reports for reconciliation, variance checks, and rolling forecasts. Finance can import the CSV into your budgeting tool.
You don’t have to choose between agility and predictability.
With credit cards to get moving — and monthly invoicing when you scale — plus token-level visibility and exportable reports, cost forecasting in Verify is intentionally simple.
That’s how you keep AI multilingual content flowing, budgets controlled, and stakeholders aligned.