Pulse is the most accurate speech-to-text on real contact center calls.
We benchmarked it on real Hindi and English telephony audio against Sarvam, Deepgram, and Soniox. Pulse ranked #1 in both languages.
In Hindi, it made 15.3% fewer word errors than the next best. In English, it made 5.8% fewer errors.
On a customer call, a misheard word can change the entire conversation. Names, numbers, and customer responses need to come through accurately.
Run it on your own call audio. The link is in the first reply.
The world's hardest tongue twisters vs Smallest Lightning TTS
In an MIT study, "pad kid poured curd pulled cod" broke volunteers so badly that some just went silent.
We gave it to Lightning v3.1 Pro. Then we made it harder, with 8 more tongue twisters, a switch to Hindi, and the speed pushed to 2x.
Comment the tongue twister you want Lightning to try next.
Editing takes skill. Captioning takes hours.
Capkit by Smallest AI takes the Captioning one off your plate. Click Generate and animated captions land on your Premiere Pro or After Effects timeline.
It runs on Pulse, the fastest speech to text model in the world, so the wait between Generate and captions on the timeline is barely a wait. 20+ languages, Hinglish included.
Link in the first reply.
Catch our DevRel @StalwartCoder at BUILD Day Cochin on November 1 for a hands-on workshop on building your first voice agent.
Replying to @bldrcollective
Our 2nd speaker for BUILD Day is @StalwartCoder from @smallest_AI
He will be taking a workshop on AI: From Hype to BLDing your first Voice Agents Workshop. He is also passionate about Python, Voice AI & developer ecosystems. So, get ready for exciting tech conversations! (2/4)
Pulse STT has the lowest hallucination rate during silence.
A caller goes quiet for eight seconds while looking for their card. Some STT models start filling that silence with words nobody said.
Sometimes, those made-up words can take the entire conversation in the wrong direction.
On audio with multiple silent gaps, Pulse recorded 6.85% WER, compared to 14.03% for Deepgram Nova 3 and 40.39% for ElevenLabs Scribe.
Test Pulse on your own recordings with long pauses. Link in the first reply.
Lightning is the best TTS model for Hindi customer support in Voice Arena’s blind human evaluations.
In the demo below, a customer has received his new card, but it has sat unused because he has not activated it.
An AI voice agent calls him. The call begins in English, then switches to Hindi as soon as he responds. It patiently walks him through the steps.
Those same instructions can sound like a pushy sales call or like someone genuinely trying to help.
Wait for the moment he asks for a minute. That is the difference between a call that delivers instructions and one that delivers support.
Lightning v3.1 Pro is the best real-time TTS model for Hindi customer support on Voice Arena’s blind human evaluations. Try Lightning v3.1 Pro: smallest.ai/text-to-speech
AI voice agents have one problem.
The voice can sound natural, but names and company names are often where they stumble first.
A model that hasn’t encountered a name before may mispronounce it based on its spelling. Callers notice, and one mispronounced name can make the entire interaction feel less human.
Lightning v3.1 Pro is built for names, brands and acronyms, with a pronunciation dictionary for the hardest ones.
Try Lightning v3.1 Pro. Link in the first reply.
Some names need more than a model’s best guess. The pronunciation dictionary lets you define how specific words should be spoken, in plain words, and reuse those pronunciations across calls.
Try Lightning v3.1 Pro with your own names and brands:
smallest.ai/text-to-speech
smallest.ai retweeted
Cochin, it's time to BLD!
BUILD Day is coming to you city on 1st Nov!
- On-Device AI workshop @Qualcomm_Dev
- Game Dev with AI
- Open Source Development
- Building Voice Agents @smallest_AI
Learn. Explore. Build Together.
📅 1 Nov 2026
Registration: luma.com/eo83h85y








