Microsoft Translator

Open Site
Free
★★★★☆ 4.9
Introduction: Microsoft Translator is a cloud translation service that converts text, speech, images, and documents across dozens of languages via API or apps.
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Microsoft Translator

Microsoft Translator is a machine translation engine by Microsoft.

It handles text, speech, documents, and even conversations.

It’s part of Azure Cognitive Services, useful for devs and end users alike.

It powers translation in Office, Bing, Skype, and more.

Why many use it & usage stats

It supports over 100 languages and dialects.
It reaches an estimated audience of 34910 billion people (through supported languages). On the web usage side, ~1,846 live websites are using Microsoft Translator according to BuiltWith trends.
That shows companies trust it for real localization and translation tasks.

Features & how it works

Text & language detection

You supply text, it detects the source language and translates.
It also offers transliteration and bilingual dictionary features.

Document translation

You can upload files (Word, PDF) to translate while preserving structure.

Speech & conversation mode

It can translate speech in real time, enabling cross-language conversation.
Group conversation translation is also supported in the app.

Offline & local support

You can download language packs to translate while offline (on device).
For high security, there is on-premises / container deployment for private translation.

Custom models & API use

Devs can build custom translation models (Custom Translator) tailored to domain jargon.
The REST API allows translation calls, integration with apps/websites.
It also has built in security data submitted is not persistently stored.

Pricing & cost details

For light users, there’s a free tier: 2 million characters per month at no cost.

Beyond that, standard translation costs ~$10 per million characters.

Document translation is around $15 per million characters.

Custom translation (using your own trained models) is ~$40 per million characters.

Training a custom model costs ~$10 per million source + target characters (capped per run).

Hosting a custom translation model also has monthly cost per region.

Pros

Wide language support and dialects

Flexible: works with text, speech, documents

Offline & on-premises for privacy

API integration & custom model support

Secure design: doesn’t store user text long term

Cons

For idiomatic phrases or nuance, errors appear

Heavy usage costs can add up

Custom model training requires good data

Some rare languages may be less polished

Offline packs may lack latest updates

Final thoughts

Microsoft Translator is a powerful, enterprise-ready translation system that bridges languages across many formats.

It’s built for both everyday users and developers who need scalable localization.

It’s not flawless nuance and style remain hard for machines but it offers a strong balance of features, security, and pricing.