White Label AI Video Generator - Avatar Video & Localization Platform You Own

Yes. You operate it under your own brand, terms and content policy, and generation runs through AI provider accounts you open, under their terms. The care point is likeness: a face or voice belongs to the person it depicts, so offer provider-licensed stock avatars or get explicit consent for custom ones. Labeling synthetic media where markets require it and moderating what customers make are also yours. The platform logs actions for audit; the consent process is your responsibility.

$3,699, paid once, for the white-label build with source code. Scope can shift it: which providers, how many languages, rendering and export depth, the number of integrations, branding work and your hosting setup.

Our side takes six days, because the platform already exists and the work is rebranding and deployment. Your calendar depends on what you send us: brand assets, hosting access, AI provider accounts and, if you charge from day one, a Stripe account. Provider approval tends to take longest, so apply early.

Providers are set at runtime in the admin console instead of being written into the code, across nine integration sections that cover generation, voice and model services. You open the accounts and hold the keys; we connect them. We built it that way on purpose, since pricing and quality in AI video shift faster than any release schedule. Miracuves has no model of its own.

No. It is a responsive web platform, and four separate technical documents confirm there is no native mobile package. Native iOS and Android can be scoped as custom development if you need them. We would rather say so plainly now than have you discover it after purchase.

On the server, inside the service layer, before any job is accepted. Generation limits are checked ahead of queueing, and export entitlements decide which resolutions and formats a plan can use. Since the checks live beneath the API and not in the browser, a user tampering with the client cannot get around them.

Its eighteen tabs cover platform stats; workspaces (suspend, change owner or plan, delete); users (suspend, delete, promote to admin, reset password, impersonate); projects (archive, reassign); create, edit and delete for videos, avatars, voices, templates, assets and webhooks; session revocation; member roles; analytics, translations and exports; runtime config; nine integration sections, each with Save and Test; and audit logs across the whole platform.

The interface comes in eight languages: English, Spanish, French, German, Hindi, Arabic, Chinese and Portuguese, each with 156 translation keys, and users can switch language without reloading. That covers the UI only. Which languages your videos speak depends on the voice and translation providers you connect, which you configure separately.

A strong JWT secret, an ENCRYPTION_KEY for encrypting provider secrets, a strict CORS origin allowlist and a tighter CSP, queue mode backed by Redis, your AI provider accounts, and monitoring with alerts. To bill customers, add a Stripe account with its webhooks connected. The documentation lists each of these as configuration required before production, not something already done for you.

It comes with a VAPT and compliance posture document and a separate line-by-line security audit checked against an OWASP-based list. On the plus side: JWT verification pinned to HS256, TOTP two-factor login, session revocation, rate limiting, Zod validation, parameterized queries through Drizzle, SSRF checks on webhook URLs, Stripe signature verification and audit logging. Documented just as clearly: API keys are stored unhashed, the frontend keeps tokens in browser storage instead of secure cookies, and authorization at the resource level is uneven between route families, with central policy middleware named as the fix. Reviewers get both sides.