Announcing our Series A Funding

Announcing our Series A Funding

AI Voices for Announcements & Public Transport

Announcements are heard in reverberant halls and repeated thousands of times. Pronunciation dictionaries fix station and place names permanently, ulaw and alaw feed public address hardware directly, and one voice carries a full multilingual chain.

VOICES FOR THIS USE CASE

Andreiandrei
MaleYoungRussian
Best for RussianUse voice
Nikolainikolai
MaleYoungRussian
Best for RussianUse voice
Jakubjakub
MaleYoungPolish
Best for PolishUse voice
Arghyaarghya
MaleYoungIndian
Best for HindiUse voice
Muruganmurugan
MaleYoungIndian
Best for HindiUse voice
Finnfinn
MaleYoungGerman
Best for GermanUse voice

Announcements are heard in bad rooms

Stations, airports and concourses are reverberant, and speech that is clear in headphones can smear into noise in a hall. Slowing delivery to around 0.9 does more for intelligibility than casting does, because a slower read survives reflection better than a faster one at any pitch.

Multilingual announcement chains

Indian transport announcements typically run in a regional language, then Hindi, then English. Voices in the Indic family cover all eleven Indic languages plus English, so a single voice can carry that whole chain. That consistency is usually preferable to three different voices in sequence.

Getting place names right

Station and street names are exactly what generic models mispronounce, and an announcement repeated hourly makes an error permanent. Pronunciation dictionaries fix each name once so every generation matches. Have a native speaker confirm the output rather than the spelling, since the two can diverge.

Pre-render everything

Announcements are the clearest case for generating ahead of time. The text does not change, the audio is played thousands of times, and the moment you most need reliability is the moment a network call is riskiest. Generate once, store the files locally, and play from your own system.

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 Announcements & Public Transport

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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 IVR & Telephony

IVR voices need to survive a compressed phone line, not just sound good in a browser. These output ulaw and alaw directly, generate in roughly 200 milliseconds, and handle Hindi and English in the same prompt.

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 Ads & Commercials

Commercial reads are short, fast, and worth testing in variants. A thirty second spot is one or two requests, which makes producing four versions cheaper than booking one session.

Authoritative Voices

Slowing down reads as more authoritative than speeding up. A setting near 0.9 does more than any voice choice, and short declarative sentences carry more weight than qualified ones.

Serious Voices

For compliance and legal reads the goal is that exact wording lands, not that the voice sounds grave. A speed near 0.9 improves intelligibility more than any casting choice.

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 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 YouTube Voiceover

Short form rewards pace, and speed adjusts up to 2.0. Scripts change after the edit, so generating line by line means retiming a section costs one line rather than the whole track.

FAQs

Yes, within a language family. A voice covers either the Indic set or the European set, never both, so one voice can move between Hindi, Tamil and Bengali but cannot switch to French. For a bilingual announcement across those families, generate each language with its own voice and play them in sequence.