Now in Early Access

The Voice of
Bharat,
Reimagined.

AI-powered text-to-speech and voice cloning built for India's 22+ official languages. Natural, expressive, and culturally authentic.

22+
Indian Languages
1,400+
Unique Voice Profiles
97.3%
Naturalness Score
< 80ms
Average Latency
हिंदीHindi
தமிழ்Tamil
বাংলাBengali
తెలుగుTelugu
ਪੰਜਾਬੀPunjabi
ಕನ್ನಡKannada
മലയാളംMalayalam
ગુજરાતીGujarati

About Wahkashi

Built for the languages
600 million people speak.

India's linguistic diversity is one of the most complex in the world — yet AI voice technology has largely been built for English speakers. Wahkashi changes that.

We train large-scale neural voice models on native speaker data across Hindi, Tamil, Bengali, Telugu, Kannada, Malayalam, Gujarati, Punjabi, and 14 more languages — preserving regional phonemes, tonal patterns, and dialectal nuance.

Platform Features

Every tool your voice
pipeline needs.

From a simple REST call to a full production pipeline, Wahkashi covers every voice workload at any scale.

Neural Text-to-Speech

Core

Convert any text into natural, expressive speech in 22+ Indian languages. Our models capture rhythm, stress, and intonation with speaker-level fidelity — not robotic mono-tone.

Voice Cloning

Advanced

Replicate any speaker's voice from as little as 30 seconds of audio. Clone brand voices, celebrity narrators, or personal voices for hyper-personalised content at scale.

Regional Language Support

Breadth

From Maithili to Konkani, we go beyond the big six. Every supported language ships with multiple regional accents, dialect variants, and male/female voice options.

SSML & Prosody Control

Control

Fine-tune pace, pitch, emphasis, and pauses with full SSML support. Build dynamic narrations that adapt tone by context — gentle for children, authoritative for news.

Real-Time Streaming API

Performance

Sub-80ms first-byte latency with chunked streaming. Build live voice assistants, interactive IVR flows, and low-latency dubbing pipelines without batching delays.

Emotion & Style Transfer

Expressive

Tag utterances with emotion labels — joyful, sad, curious, surprised — and our model shifts the affective register while preserving the speaker's voice identity.

Use Cases

Who builds
with Wahkashi?

From solo creators to government agencies — anyone building voice experiences in Indian languages.

Get in Touch

Start building
in your language.

Request API access, a live demo, or a custom enterprise quote. Our team typically responds within one business day.

General Enquiries
hello@wahkashi.ai
Enterprise Sales
enterprise@wahkashi.ai
Office
Bengaluru, Karnataka — India