Compare speech-to-text providers side by side
Test Soniox against other providers on the same audio input. See the difference in accuracy, latency, and handling of multilingual content.
Why compare STT providers
Not all speech-to-text systems handle real-world audio the same way. The differences become clear when you test the conditions production systems face daily.
Accents get misheard by some providers and transcribed accurately by others. Overlapping speakers blur into a single stream. Conversations that switch languages mid-sentence fall apart. Background noise and domain-specific terms trip up models that look solid in clean demos. And latency varies wildly, some providers stream word by word, others deliver transcripts in laggy chunks that make real-time interfaces feel broken.
This comparison tool lets you hear exactly how each provider transcribes the same audio, side by side. No marketing claims. Just direct, real-time transcription on the inputs that matter for your use case.
What to watch for when comparing
Accents and real-world audio
Many providers perform well on clean English and fall apart on regional accents, background noise, and everyday microphones. Play the same clip through each API and listen for words that change depending on the speaker.

Language switching mid-sentence
People mix languages in a single utterance. Some providers require you to pick one language per request. Others detect the shift and transcribe every word in the correct language, with no manual switching.

Alphanumerics and domain terms
Phone numbers, reference IDs, and specialized vocabulary are where accuracy breaks down. Watch how each provider handles digits, codes, and technical terms — the details your product actually depends on.

Real-time streaming latency
For live interfaces, delay is a feature, not a detail. Some providers stream word by word with sub-200ms latency. Others return transcripts in laggy chunks that make voice agents and conversational apps feel broken.

Feature comparison
| Feature | Soniox stt-rt-v4 | OpenAI gpt-4o-transcribe | Google chirp_2 | Azure en-US-Conversation | Speechmatics realtime-enhanced | Deepgram nova-3 | AssemblyAI Universal |
|---|---|---|---|---|---|---|---|
Under the hood
This isn’t a static demo. It’s a real call to every provider’s API, in real time. We did our best to make every provider do its best. We built this framework because so many of our customers had to do this comparison themselves, and then chose Soniox. We open sourced it, so you can see and use the code yourself.
Everything you see here is reproducible. The full framework is open-source.
graph_8Fork on GithubFrequently asked questions
Is this comparison calling real APIs?arrow_downward
What languages are supported?arrow_downward
Why do results differ between providers?arrow_downward
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