EndorsedendorsedOngoing

Real-time Audio Streaming Optimization for Language Learning App

Services Covered:

AI and Machine Learning • Custom Software Development • Mobile Application Development
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Industry
Industry

Advertising & Marketing

Duration
Durationinfo-circle

7 months

Budget
Budget

Confidential

Start Date
Start Date

1 April 2025

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
82/100
Strong

Project Capability Score (PCS) estimates how capable Techstack Ltd is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

GLS Meida LLC

mapWeiterstadt, Germany

Project Summary

Techstack developed the mobile implementation for a media-buying company's language-learning app, building a bridge between the client's dynamic audio generation backend and the React Native client. They delivered a native iOS module in Swift to process and stream tiny audio chunks in real time and implemented adaptive playback controls and buffering optimizations. The vendor eliminated audio clicks and gaps, improving engagement and making conversations feel more natural. The team was regarded as fast, organized, communicative, and consistently on schedule.

Key Challenges

  • Improve real-time audio to remove lag and glitches
  • Eliminate clicks and gaps between AI-generated audio segments
  • Prevent moments of silence that disrupted conversational flow
  • Deliver solutions that preserve a natural, human-like interaction and product experience

Project Deliverables

  • Reliable bridge between backend audio generation and React Native client
  • Native iOS module in Swift for real-time streaming of audio chunks
  • Adaptive playback controls
  • Optimized buffering system for stability on low-end devices and slow networks

Project Solution

Techstack took full responsibility for the mobile implementation by building a reliable bridge between the backend’s dynamic audio generation and the React Native client. They developed a native iOS module in Swift to process and stream small audio chunks in real time, eliminated clicks and gaps between audio segments, added adaptive playback controls, and optimized the buffering system to keep playback stable on low-end devices and slower networks.

Project Outcome

  • Audio playback became nearly instant and glitches were almost completely eliminated.
  • Engagement metrics increased and users spent more time in conversation mode.
  • AI voices flowed without interruptions, creating a more immersive experience.
  • Milestones were delivered on schedule and communication was transparent.

Platforms

  • MobileMobile

Tech Stack

  • React NativeReact Native
  • SwiftSwift

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Techstack company has successfully eliminated the clicks and gaps between audio segments. The team is easy to work with, fast, highly organized, and transparent about every step of the process. Techstack company is highly communicative and has delivered every milestone on time.”

Gian Luca Struth

CEO

Note: This endorsement is based on publicly available client feedback from external review sources.

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