Vidura Translate | Real-Time AI Translation

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Vidura Translate

Real-time and in-place, for every language, powered by an agentic AI engine across web, mobile, and enterprise applications.

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Translated in real-time. Not rebuilt from scratch.

Vidura Translate is Vishleshan's agentic AI solution for real-time enterprise translation. Built on the same agentic AI infrastructure that governs AI agents across the Vidura platform, it works in place, across websites, mobile applications, and enterprise systems, without a rebuild or a separate version to maintain.

Built for organisations operating across global markets, Vidura Translate runs on one engine and a growing range of languages, delivered through the integration that fits your stack: a web snippet, a native SDK, or an API.

Most tools force a trade-off: rebuild your product for every market, or bolt on a disconnected experience. Vidura Translate removes that trade-off. As an AI agent operating continuously in the background, it detects, processes, and renders content instantly, in your existing design, on your existing domain.

Key capabilities

Real-time translation

Content is detected and translated as it loads, not on a delay or a separate build.

In-place rendering

Translations appear on the same page, URL and design, with no duplicate pages. On the web, the visitor’s language choice is remembered.

An AI agent under the hood

Multiple language models work within the architecture, each selected for accuracy in context, so translations stay natural instead of literal.

Live in days, not months

A lightweight snippet starts translation with no build phase, so you go live in days.

Native-script accuracy

Every translation is checked to come back in the correct script, so text always renders properly.

Every language, one engine

Every language runs on the same underlying translation engine, so quality and behaviour stay consistent across all of them.

Centralized language control

Manage which languages are live, and how content is handled, from one place rather than per platform.

Secure by architecture

Authenticated access, encrypted transit, and tenant-isolated data storage, covered in full in how it works below.

Privacy and control

We never use your content to train our own models. No access to your database, CMS or internal systems is needed. On the web, requests work only from your approved domains. Run it hosted, or in your own environment.

One translation engine. However you build.

Every integration runs on the same engine, so translation quality and behaviour stay identical no matter which one you use. Pick the one that matches your stack.

A drop-in script for any website, no framework required. Adds a language selector to your existing layout and translates content in place, with caching built in for speed.

Detect, translate, render, in real time

Detect: Content is identified directly from the page or application: text, labels, and interface elements.
Translate: The AI agent routes content through the translation engine, selecting the right model for context and caching results for speed.
Secure: Every request runs through an authenticated, encrypted layer, with data isolated per customer and never mixed across tenants.
Render: Translated content appears in place, in your existing design, without a page reload or a separate version to maintain.

Built on an architecture designed for enterprise requirements: encrypted data in transit, access control isolated by organisation, protection against bot and DDoS traffic, and audit logging across every request. No sensitive data is retained in logs, and configuration is centrally managed per customer.

Built for every platform. Not just your website.

Most translation tools solve one part of the problem. A widget translates your website but stops there. A localization platform manages translator workflows but isn't built for real-time content. Vidura Translate is the only one built as an AI agent, translating everything you run, your website, your apps, and your enterprise systems, on one engine, without rebuilding any of it.

Where it's used

E-commerce and catalogs: Product listings, pricing, and descriptions translated in real time as inventory changes.
Customer and partner portals: Support content and self-service tools available in each user's language without separate builds.
Enterprise applications: Internal tools accessible to a global workforce without translation backlogs.
Content platforms: Frequently updated content translated as it publishes, not on a delay.

From integration to production

Discovery: Confirm application surfaces, supported languages, and translation scope.
Configuration: Set up your organisation, API keys, and admin-managed language catalog.
Integration: Install the web snippet, SDK, or API package that matches your stack.
Validation: Test terminology, layout, native scripts, and caching behaviour before launch.
Go live: Deploy to production, monitor usage, and expand to more languages as needed.

Vidura Translate is one part of the Vidura Agentic Platform.

Frequently asked questions

Everything you need to know about the Vidura Translate.

Vidura Translate supports a wide and growing range of Indian and international languages, with native-script rendering. You manage your language list from one place, and new languages can be added over time.

No. Vidura Translate works in place, on your existing design and domain. There is no separate version to build or maintain.

Yes, it operates as an autonomous agent within the Vidura platform, detecting and translating content without manual triggering.

Integration is lightweight. A script for websites, or an SDK or API for apps, and most implementations go from discovery to production within the standard five-step rollout.

Yes. Data is encrypted in transit and isolated for each customer. Access is role-based, and every action is audit-logged. Vishleshan complies with GDPR, ISO 27001 and SOC 2.

Yes. Native SDKs are available for iOS, Android, React Native, and Flutter, alongside the web snippet and API for other platforms.

Vidura Translate does not use your content to train our own AI models. It receives the text to translate, along with basic technical details such as the page address. New text is sent to the AI engine configured for your account, and translations are cached for a short, configurable period. You can clear the cache by page, site or component whenever you need to. Where your data is stored depends on how you deploy it. The terms of your agreement apply, and so do the AI provider’s terms for the engine you use.

Yes. Besides the hosted option, a hybrid deployment runs the translation runtime in your own cloud or data center. You keep your own database and manage your own AI engine credentials. This suits enterprises with strict data residency and privacy requirements.

Your content is only as global as the languages it reaches.

Tell us what you're building. We'll show you how Vidura Translate fits.