AI-Powered Language Translator App Development

Our client runs a well-established customer support and BPO firm in the USA  and provides services to multiple industries like e-commerce, healthcare, banking, and travel. Their team managed calls, live chat, and email support for businesses. Currently, they have multilingual agents to serve customers in different regions. This model worked well initially, but as the client base kept growing internationally, it was getting difficult to hire multilingual staff and train them. Every industry requires support agents fluent in that region’s languages. Due to noticeable dissatisfied customer support experience and language issues, they realized the need for a language translator.

Their existing strategy involved using human interpreters or third-party translation tools, but these were limited to some extent. Also, manual translation was slow and sometimes gave inaccurate results. Plus, most importantly, this does not give real-time support. Customers used to ask different and complex queries.

They searched first for an app that translates languages, and found that there are many third-party apps, but it's better to build a custom language translator app tailored to their business. That’s when they chose Manektech as a USA app development company.

A Challenge to Build a Language Translation App Platform:

The main challenge the client was facing was the problem of handling multi-region clients during the peak hours and responding smoothly with an accurate answer to all at the same time. The biggest issue was the high cost of hiring and training multilingual agents in different regions. Every time they entered a new market, they needed agents fluent in that language. Manual translation of customer queries was causing delays and longer time in response.

In sensitive industries like healthcare or banking, even small errors in translation can create a big risk of miscommunication. Over time, these problems started affecting customer satisfaction and limited their scope of growth. We suggested a translating app to ease their work efficiency. As this was completely a new concept for them, they had multiple queries such as:

• How much does it cost to develop a language translator app?
• How long does it take to build a language translator app?
• What features should a language translator app have, and many more?

From the development side, the app must handle real-time translation for text, voice, and chat without delays. It also had to be context-aware, meaning it should understand tone and intent, not just translate word for word. For this, we needed to add the complex industry terms and data related to industry-specific terms in areas like medical or legal support with high accuracy. This also needed training AI models according to customer queries in different languages. Integrating existing tools like CRM and helpdesk systems, while fulfilling secure and compliance with GDPR, was also a tough job to make sure everything works in sync and gives the right result.

Best AI Language Translator App Platform Implemented By Our Team

To solve the client’s above concerns, we first started with detailed research about the language translator app. We googled some of our queries before jumping into the development, such as what is the best language translator app, which app is best for language translation, how to make a language translator app, and more. As the client targets multiple industries, we suggested cross-platform apps and gave them a quotation for application development costs. We used neural machine translation (NMT) to deliver context-aware translations to offer word-by-word conversion. And have more natural conversations like a human. Our AI/ML experts trained the AI models with industry-specific data sets (healthcare, banking, retail, etc.) to improve accuracy in specialized terms.

They already had their CRM for business, so we connected the app with their CRM and live chat systems, so agents didn’t need to switch between multiple apps. Keeping security in mind, we also implemented end-to-end encryption to keep the chat secure. Plus, to handle heavy customer traffic and the expansion of business, we used cloud infrastructure so they never have to face downtime. Being an android app development service in usa, we also optimized this app for different Android versions.

Key Features of the Language Translator App:

• Real-Time Chat Translation: It will instantly convert customer messages into the agent’s preferred language and suggest replies using AI.
• Voice Translation: You can also convert speech to text and translate it in real time during phone calls.
• Multi-Language Support: We have integrated over 50 global languages to give accurate support to multiple regions.
• Context-Aware AI: The AI will translate based on meaning, tone, and intent, not just words.
• Industry-Specific Customization: The AI model is trained on all data for industries like healthcare, finance, and retail to translate and give support according to industry.
• CRM & Helpdesk Integration: This app easily works directly within tools like Zendesk, Salesforce, and Freshdesk.
• Offline Mode: You can also do basic translations without internet connectivity for field operations.

Siri integration: Being an experienced iOS app development company, we also integrated Siri to allow users could use voice commands for iOS users.

Result of AI Translating App:

This AI-powered language translator app led to many improvements in BPO and support operations.

• Their staffing cost has now been reduced up to 40%.
• 45% faster translation and faster customer response.
• Client expanded to 4 new areas without worrying about language barriers.
• Agents can now focus more on problem-solving instead of struggling with translations.
• 37% user retention due to AI and personalized response.

Technologies and Tools:

• Programming Languages: Python, JavaScript
• AI & NLP Frameworks: TensorFlow, PyTorch
• Translation Engines: Custom Neural Machine Translation (NMT) models, integrated with APIs like Google Cloud Translate
• Databases: MongoDB, PostgreSQL
• Cloud Infrastructure: AWS
• Security: End-to-end encryption, OAuth 2.0, GDPR compliance frameworks
• Integrations: Salesforce, Zendesk, Freshdesk, custom CRM APIs