Speech-to-Text API by Deepgram Nova
Next-Gen Speech-to-Text with Unmatched Performance
Speech-to-Text API by Deepgram Nova launched on April 14, 2023 with 110 votes, #437 of 4,853 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
Nova is the world's deepest-trained ASR model to date, achieving unrivaled performance across diverse automatic speech recognition tasks. Nova delivers a 22% reduction in WER, 23-78x faster inference, and 3-7x lower cost than its closest competitor.
We’re introducing our next-gen speech recognition model with unmatched speed, accuracy, and cost. Plus, a fully managed Whisper API.
Does a similar job
all alternatives →
Conversational AI 2.0 From ElevenLabs2025 · elevenlabs.io · ▲652Luke from ElevenLabs here. We just released Scribe Realtime v2, our new real-time Speech to Text model. We rebuilt it from the ground up around a new architecture that uses predictive transcription – it anticipates the next likely word before it’s spoken. That makes it both fast (around 150 ms latency) and highly accurate. Scribe v2 Realtime outperforms every low latency transcription model across 30 commonly used EU and Asian languages – 93.5% accuracy, compared to Gemini 2.5 Flash (91.4%), GPT-4o MiniTranscribe (90.7%), and Deepgram Nova 3 (85%). It supports 90+ languages including…
AI Voices by Asyncflow v1.02025 · async.com · ▲401Premium AI voice quality without the premium price tag.
Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3Feb 2026 · github.com · ▲316I wanted to share our new speech to text model, and the library to use them effectively. We're a small startup (six people, sub-$100k monthly GPU budget) so I'm proud of the work the team has done to create streaming STT models with lower word-error rates than OpenAI's largest Whisper model. Admittedly Large v3 is a couple of years old, but we're near the top the HF OpenASR leaderboard, even up against Nvidia's Parakeet family. Anyway, I'd love to get feedback on the models and software, and hear about what people might build with it.


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Source: Product Hunt launch ↗
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