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

It is a full AI video platform that you run as your own product. A user writes a script and selects an avatar with a synthetic voice, and the system produces a presenter-style video that can be translated, exported and measured afterward. Around it sit subscription billing, API metering, an 18-tab admin console, workspaces, roles, and libraries for templates and assets. You buy the Miracuves white label AI video generator once and receive the full source code.

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; Miracuves connects them. It is built that way on purpose, since pricing and quality in AI video shift faster than any release schedule. Miracuves has no model of its own, so output quality depends on the providers you choose.

Each translation is its own pipeline entity with a dedicated worker and status, rather than a fresh render of the original. You choose the target language, voice and subtitle settings, the job enters the queue, and its status moves from pending to processing to completed apart from the source video. Because of that split, one script can yield eight market versions and none holds up another.

The interface ships in eight languages, each with 156 translation keys: English, Spanish, French and German, plus Hindi, Arabic, Chinese and Portuguese. 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.

The Miracuves white label AI video generator is delivered as responsive web that works in any phone or desktop browser, and native iOS and Android apps can be scoped as custom development if you need them.

$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. Custom work is quoted separately, in writing, before it starts.

Six working days on the Miracuves side, 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.

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.

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.

It ships with two security reviews. One is a VAPT and compliance posture document. The other is a security audit run line by line 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.

Running an AI video service is lawful in many markets, but what applies to you depends on where you operate and who your customers are. You operate the platform with 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 (for example the EU AI Act transparency duties or India's IT Rules 2021), privacy duties such as GDPR, and moderating what customers make are also yours. The platform logs actions for audit; the consent process is your responsibility. Miracuves does not provide legal advice, so confirm your obligations with qualified counsel.

Miracuves has served 6,000+ clients and completed 9,000+ projects, and it lists 90+ ready-made solutions. The platform behind our AI video clones is the very product on this page, a white label AI video generator: pay once at $3,699, get the entire source code, and Miracuves handles rebranding and deployment within 6 working days. Each ready-made solution includes 60 days of platform guidance, priority bug fixes for 6 months and product updates for 12 months. The first reply arrives in under 2 hours; support hours are 10:00-19:00 IST, Monday to Saturday.

Usually, yes. Workspaces, roles, versioned scripts, a render queue, translation with its own status, plan limits, metered API keys and the admin command center are finished and documented, for $3,699 paid once with deployment in 6 days. Commissioning a custom AI video build means a written quote and months spent recreating those foundations. Buying the platform and commissioning only the features nobody else offers gets a branded product to market far sooner.

You sell video production as a service under your own brand. Teams subscribe per workspace, add members as they grow and pay for higher plans that unlock better export formats, while developers buy metered API access and agencies resell the platform to their clients. Every render uses paid minutes from the AI providers you connect, so your margin is whatever plans earn above that spend.

First, explore the creator, manager and admin demos. Next, give us your brand assets, language list, plan design and chosen AI providers. Miracuves then applies your name, colors and player styling, ships the Docker builds to your cloud with CI/CD and health checks, and walks you through entering provider keys in the runtime settings. Deployment takes 6 days, and because the product is responsive web, no app store approval is involved.

Yes. You run the platform as your own product, with separate workspaces for each team or client, roles for their members and plan limits you design. Customers pay you through subscriptions, and you keep full control from the admin console. The source code is yours, so the branding and commercial terms are entirely your own.

API metering is built into the platform, so you can charge for programmatic use alongside subscriptions. Limits are checked on the server in the service layer, beneath the API, so a user who tampers with the browser client cannot get around them. Keys and plans are managed from the 18-tab admin console.

Each client gets a workspace of its own with roles for its members, plus libraries for templates and media. The operator keeps control from a protected platform-admin route, where every workspace, user, project and video in the deployment can be managed. Workspaces can be suspended, reassigned to another owner or plan, or deleted.