Announcing our Series A Funding

Announcing our Series A Funding

AI Voices for E-Learning

Course audio has to sound the same in module ten as in module one. These voices hold consistent across sessions, handle technical vocabulary through pronunciation dictionaries, and cover nine Indic languages alongside English.

VOICES FOR THIS USE CASE

Finnfinn
MaleYoungGerman
Best for GermanUse voice
Tamizhtamizh
MaleYoungIndian
Best for HindiUse voice
Mehermeher
FemaleYoungIndian
Best for HindiUse voice
Letícialeticia
FemaleYoungBrazilian
Best for PortugueseUse voice
Shankarshankar
MaleYoungIndian
Best for HindiUse voice
Daandaan
MaleYoungDutch
Best for DutchUse voice

Consistency across a whole course

A module recorded over several weeks has to sound like one narrator throughout. Because there is no drift between sessions, a lesson recorded today matches one recorded last month. That matters more in e-learning than in most formats, where learners notice a change of voice as a change of authority.

Regional language delivery

Twelve languages carry recommended voices, nine of them Indic. For Indian education products that is the difference between an English-only course and one that reaches learners in Tamil, Telugu, Kannada or Marathi. Voices in the Indic family cover eleven languages each, so one voice can serve several regional versions.

Terminology that has to be right

Technical vocabulary is the most common complaint in course audio. Pronunciation dictionaries let you define how a term should sound once, and it applies to every generation afterwards. Building that dictionary before recording a series is considerably less work than correcting individual lessons later.

Pace and revision

Speed runs from 0.5 to 2.0, and learners differ more in preferred pace than course designers expect. Exposing the control rather than fixing it is usually better. Because audio is generated rather than recorded, correcting a single sentence means regenerating that sentence, not rebooking a session.

SPECIFICATION

Sample rate

44.1 kHz native, resampled to 8 kHz for telephony

Latency

~200 ms to first byte (p50, warm region)

Output formats

ulaw, alaw, PCM 16-bit, WAV, MP3

Streaming transports

WebSocket, HTTP chunked transfer

Speed range

0.5× – 2.0×, set per request

Explore Voice Similar to

AI Voices for E-Learning

FOR EXPLAINER & PRODUCT DEMO VIDEOS

Explainer scripts get rewritten after the first cut. Generating line by line means a late change costs one line rather than a re-record, and audio arrives in about a second at 44.1 kHz.

AI Voices for Accessibility & Screen Readers

Experienced screen reader users often run well above normal speed. Speed adjusts from 0.5 to 2.0, and nine Indic languages are covered, where assistive audio is thin across the whole industry.

AI Voices for Audiobook Narration

A novel is thousands of requests stitched together, and the joins are where narration falls apart. These voices hold consistent across a full book and cover nine Indic languages that most vendors do not.

Professional Voices

Corporate narration needs consistent terminology more than it needs a particular tone. Pronunciation dictionaries fix brand and product names once, so every module in a library matches the first one.

Calm Voices

Calm comes from pace more than from voice. Speed runs down to 0.5, and pauses come from punctuation rather than a parameter, so the script does as much work as the casting.

Multilingual & Code-Switching AI Voices

Seventy two voices cover eleven Indic languages plus English, so one voice serves a Hindi caller and a Tamil caller without re-casting. Hindi and English can alternate inside a single sentence.

AI Voices for Podcast Generation

Podcast production is segment based already, which suits generation in short calls. Intros and ad reads generate once and cache, and pairing contrasting voices produces a two-hander without booking two people.

AI Voices for Meditation & Wellness

Guided audio lives on pacing rather than voice character. Speed goes down to 0.5, pauses come from how you write the script, and nine Indic languages are available for regional wellness content.

AI Voices for Customer Support Automation

Support calls reach people who are already inconvenienced, often on a poor line. These voices favour clarity over character, hold steady across renders, and move between Hindi and English the way callers actually do.

AI Voices for Voice Agents

Voice agents live or die on the pause before a reply. Synthesis starts in about 200 milliseconds and runs at 3.3 times real time, which leaves the budget where it usually belongs: your model.

FOR EXPLAINER & PRODUCT DEMO VIDEOS

Explainer scripts get rewritten after the first cut. Generating line by line means a late change costs one line rather than a re-record, and audio arrives in about a second at 44.1 kHz.

AI Voices for Accessibility & Screen Readers

Experienced screen reader users often run well above normal speed. Speed adjusts from 0.5 to 2.0, and nine Indic languages are covered, where assistive audio is thin across the whole industry.

AI Voices for Audiobook Narration

A novel is thousands of requests stitched together, and the joins are where narration falls apart. These voices hold consistent across a full book and cover nine Indic languages that most vendors do not.

Professional Voices

Corporate narration needs consistent terminology more than it needs a particular tone. Pronunciation dictionaries fix brand and product names once, so every module in a library matches the first one.

Calm Voices

Calm comes from pace more than from voice. Speed runs down to 0.5, and pauses come from punctuation rather than a parameter, so the script does as much work as the casting.

Multilingual & Code-Switching AI Voices

Seventy two voices cover eleven Indic languages plus English, so one voice serves a Hindi caller and a Tamil caller without re-casting. Hindi and English can alternate inside a single sentence.

AI Voices for Podcast Generation

Podcast production is segment based already, which suits generation in short calls. Intros and ad reads generate once and cache, and pairing contrasting voices produces a two-hander without booking two people.

AI Voices for Meditation & Wellness

Guided audio lives on pacing rather than voice character. Speed goes down to 0.5, pauses come from how you write the script, and nine Indic languages are available for regional wellness content.

FAQs

Thirteen voices carry the educational tag. Andrea, Albus and Alec suit English modules; Gargi, Harshita and Chirag handle Hindi and can switch to English mid-sentence for technical terms. Pronunciation dictionaries let you fix product names and jargon once, then reuse them across every lesson.