At a glance
Talkpal is a conversational AI language learning platform on a mission to make high-quality language learning accessible to every learner worldwide. The platform teaches over 80 languages to more than 5 million users through real-time spoken practice, using AI to emulate real-life scenarios in which users learn by interacting with an AI teacher. With a rapidly growing user base, Talkpal needed a TTS solution with broad multilingual support, low latency for natural conversation flow, voice variety to match diverse AI teacher personas, and competitive pricing. Talkpal chose Inworld TTS to power its AI teachers at scale.
“Our mission is to make high-quality language learning accessible to every learner worldwide through cutting-edge AI and machine learning. Inworld's reliable, cost-effective TTS technology directly supports this vision, and our partnership plays an important role in helping us scale that mission further.”
Dimitri Dekanozishvili, Co-Founder, Talkpal
The problem
Requirements of real-time language learning at scale
Building a leading conversational language learning product with voice at its core presents specific quality, technical, UX, and cost requirements that determine whether the product can scale.
Users practice speaking with AI teachers in real-time, where low-quality voices and small delays break the immersion that makes conversational learning effective. The AI voice experience must feel natural and instant so that learners stay engaged.
Conversational language learning also relies heavily on voice. Every conversation, pronunciation drill, and role-play requires TTS, meaning voice AI typically represents one of the largest infrastructure cost categories.
Talkpal also needed to support a wide range of languages and voice personas. Each AI teacher must have a distinct personality and requires a voice that matches. This required both multilingual capabilities and the ability to create custom voices through cloning.
The solution
Building for accessibility at scale with Inworld TTS
Talkpal integrated Inworld TTS across both paid and free user segments for a wide catalog of languages, including English, German, and French, and across different learning modes.
Integration took less than a week and leverages Inworld TTS for high-quality, low-latency, multilingual voice AI, plus voice cloning for custom AI personas that match the team's character designs.
“We chose Inworld because of its low latency, high-quality output, multilingual support and competitive pricing. In addition, with high rate limits and stable performance, Inworld has enabled us to scale confidently. Even during peak usage days, we've experienced no rate-limit issues or latency bottlenecks.”
Dimitri Dekanozishvili, Co-Founder, Talkpal
Results
To validate the solution in a real-world environment, Talkpal ran a four-week A/B test and observed measurable improvements in key metrics across both free and paid segments.
40%
Reduction in TTS costs
7%
Increase in feature usage
4%
Lift in user retention
Free to paid
Boost in conversion rate
What’s next
Scaling the mission
For Talkpal, voice AI is central to their mission of making high-quality language learning accessible to every learner worldwide. By reducing costs while improving the experience for both free and paid users, Inworld TTS helps Talkpal further that mission.
