Translatica abstract communication visualization

Translatica

What if translation felt human?

Why Translatica?

Language is more than words.

It's memory. Emotion. Identity.

But most translation tools reduce it to data.

They lose the speaker behind the sentence.

Tone becomes flat. Emotion fades.

Presence disappears.

In education, students hear machinesβ€”not mentors.

In conversation, warmth turns cold.

In media, personality vanishes into monotone.

The problem isn't just what is translated.

It's how.

Because language carries meaningβ€”

but voice carries connection.

How we speak is as human as what we say.

Translatica was built to preserve both.

Not just to translate words,

but to speak them as you would.

That's why it's modular.

End-to-end systems are black boxesβ€”

opaque, rigid, and impossible to trust.

Modularity enables clarity.

It lets us listen, test, and evolve.

Translatica is transparent by design.

Each step intentional. Each part adjustable.

A pipeline built to preserve presence.

How It Works

A Modular Voice-Preserving Pipeline

🎀

Transcribe

Convert speech to text with speaker awareness

Whisper

↓
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Diarize

Identify and separate individual speakers

PyAnnote

↓
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Translate

Convert text while preserving context and tone

GPT-4

↓
πŸ”Š

Re-speak

Generate speech in the original speaker's voice

F5/UniAudio

System Architecture

Cloud-Native, Scalable, Agile

🎨

UI

Vercel

Frontend & Deployment
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Backend

AWS Lambda

Serverless Functions
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Storage/Auth

Supabase

Database & Authentication
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Pipeline

Modular orchestration

AI Processing Chain

Key Achievements

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Voice Preservation

Speaker identity across languages

πŸ”§

Modular Pipeline

Central orchestration hub

🌍

20+ Languages

Scalable global architecture

☁️

Cloud Native

Serverless and scalable

πŸ‘₯

Multi-Speaker Support

Advanced diarization

🎡

Ensemble Strategy

Multi-model accuracy

Translatica isn't just a tool. It's a step toward translation that feels like a conversation.

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Β© 2025 Baaz Jhaj