PodLingo AI – Automatic Podcast Transcription & Translation

Inspiration

Podcasts and interview-based content are growing rapidly across the internet, but most of this content is only accessible to people who understand the original spoken language. Many creators also struggle to add captions manually, which can take hours for a single episode.

What it does

Podcasts and interview-based content are growing rapidly across the internet, but most of this content is only accessible to people who understand the original spoken language. Many creators also struggle to add captions manually, which can take hours for a single episode.

How we built it

Podcasts and interview-based content are growing rapidly across the internet, but most of this content is only accessible to people who understand the original spoken language. Many creators also struggle to add captions manually, which can take hours for a single episode.

Challenges we ran into

One of the main challenges was synchronizing captions with the media playback. The subtitles need to appear exactly at the right moment while the audio is playing, which required implementing a timestamp-based caption system.

Another challenge was designing the system in a way that demonstrates how AI-powered captioning would work without relying on heavy cloud infrastructure during development.

We solved this by creating a prototype system that simulates the behavior of an AI caption generator while maintaining the structure needed for future AI integration.

Accomplishments that we're proud of

During this project we learned several important things:

How caption timing systems work in video players

How subtitle formats like SRT synchronize with media playback

How to design a user-friendly interface for media processing tools

How AI can improve accessibility for audio and video content

We also learned how to structure a system that can evolve from a prototype into a scalable AI-powered platform.

What we learned

PodLingo AI can be expanded into a full AI-powered platform with several advanced features:

Real-time speech-to-text transcription

AI-based multilingual translation

Automatic subtitle generation for podcasts and interviews

AI voice dubbing for translated content

Integration with publishing platforms

In the future, this system could help creators automatically transform podcasts into globally accessible content with minimal effort.

What's next for PodLingo AI – Automatic Podcast Transcription & Translation

PodLingo AI can be expanded into a full AI-powered platform with several advanced features:

Real-time speech-to-text transcription

AI-based multilingual translation

Automatic subtitle generation for podcasts and interviews

AI voice dubbing for translated content

Integration with publishing platforms

In the future, this system could help creators automatically transform podcasts into globally accessible content with minimal effort.

Built With

• css
• gemini
• html
• javascript
• node.js
• tailwind
• video