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Hand signing
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Universal AI Translation Protocol

Bridging Silence.
Connecting Worlds.

Elite real-time sign language translation — powered by neural AI. Zero barriers.

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70M+ Users Reached
40+ Sign Dialects
<80ms Response Time
--:-- -- Live System
The Human Connection

A fundamental
human right
to expression.

Over 70 million individuals depend on sign language as their primary mode of interaction. Necho gives every conversation a voice — no barriers, no wait, no loss.

ASL
BSL
ISL
+ 37 more
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Interactive · Drag to explore
How Necho Works

Sign it.
Hear it instantly.

Sign Recognition
Hover to explore
Sign Recognition
Necho's neural core reads gestures in real-time with 99% accuracy — no special hardware needed.
Under 80ms inference
Camera-only, no sensors
40+ regional dialects
Try it now
Real-Time Translation
Sign → Speech instantly
Real-Time Translation
Silence becomes speech. Text, audio, and multi-dialect support — bridging every conversation.
Text & audio output
Natural language synthesis
Emotion-aware output
See it in action
Global Access
Borderless communication
Global Access
From London to Mumbai — Necho reaches every corner of the world with zero latency barriers.
3 global edge clusters
70M+ users served
Works offline too
Our mission
Try the Interpreter free
Global Reach

Numbers that
speak volumes.

0M+

Deaf & Hard-of-Hearing Users

Reached by sign language globally

0+

Sign Language Dialects

From ASL to ISL, BSL and beyond

<0ms

Neural Response Time

Faster than a blink of an eye

Your Journey

Three steps.
One seamless voice.

From first gesture to instant sound — a neural pipeline built for real humans.

01
REC
HAND_TRACK v2.1■ LIVE
Open Camera

Launch Necho on any device. No hardware, no install — just your browser and hands.

Any device
02
ASL ISL
NEURAL_CORE v4.2CONF 0%
Sign Naturally

Our neural core maps gestures against 40+ dialects simultaneously in real-time.

40+ dialects
03
"Hello, how are you?" ⏱ 72ms
Hear the Words

Silence becomes spoken language. Text, audio, dialect bridging — all in under 80ms.

<80 ms
Voices of Change

What the community says.

“

Necho changed the way I interact with my colleagues. I no longer need an interpreter for every meeting — it just works, instantly.

A

Aaria S.

ASL User, San Francisco

“

The ISL dialect support is extraordinary. The accuracy is genuinely remarkable even for regional hand variations I've never seen software handle before.

R

Rahul M.

ISL Educator, Mumbai

“

As a BSL interpreter myself, I find Necho's neural approach humbling. It captures nuance that technology simply has not managed before. Truly brilliant.

E

Eleanor K.

BSL Interpreter, London

“

As a teacher, watching my deaf students finally communicate effortlessly with hearing peers using Necho — that is what technology should be for. Life-changing.

M

Meena P.

Special Education Teacher, Bangalore

“

The response latency is sub-80ms — I've clocked it. For a neural translation system handling 40+ dialects, that is an engineering feat I genuinely respect.

J

James T.

ML Engineer, London

Knowledge Base

Everything you need to know about Necho.

Bridging communication is the act of facilitating a meaningful exchange between people who do not share the same language or medium of expression. At Necho, we bridge communication by using AI to translate complex sign language into spoken text instantly.
Necho bridges silence by giving users a real-time voice. Using a simple camera feed, our AI recognizes ASL and regional sign dialects, converting them to audio so hearing individuals can participate in the conversation without needing a human interpreter.
Silence is a fundamental part of the sign language experience. By “Bridging Silence,” Necho doesn't replace the beauty of sign language; it connects that world to the hearing world, ensuring that silence is a choice, not a barrier.
Modern technology bridges barriers through advanced machine learning. Necho specifically utilizes computer vision and neural networks to process thousands of gesture variations per second, ensuring high accuracy and local dialect recognition.