Choosing a speech API isn’t just about specs. It’s about what happens when real-life audio hits the system. How does it handle background noise? Can it switch languages mid-sentence? What happens when multiple people speak at once? Will it stream in real time or stall out?
You won’t get those answers from API docs or static benchmarks. The only way to know is to test it yourself.
Compare Soniox to OpenAI, Google, Azure, and more.
Soniox Compare lets you test our real-time voice AI side-by-side with other major providers, using the same audio under the same conditions.
Just speak into the mic or upload a file.
This is more than a demo. It’s a live benchmark where you can see how each system performs on real-world inputs.
Transparent by design.
The full comparison framework is open sourced. You can use it to try your own audio and explore how different systems handle real-world inputs. It’s a live benchmark you can dig into, build on, and make your own.
Built for real-world audio, not just lab conditions.
If you’re building in transcription, translation, or AI assistance, your inputs will never be perfect. Real conversations come with background noise, cross-talk, accents, and unstructured speech. People code switch and interrupt each other. It’s messy.
You’ll see faster results, accurate transcriptions, high-quality translations, and structured output, without any hacks, workarounds, or model tuning needed.
We built Soniox Compare because developers deserve more than marketing claims. You should be able to test real-time voice AI on your own terms, with your audio and transparent results.
— Klemen Simonic, CEO of Soniox
Run the test. Build with what works.
Try the comparison and see for yourself.
Fork the framework and test Soniox against others on your own data, run batch comparisons, or integrate it into your dev workflow.