Soniox vs Azure
for Gujarati speech-to-text
Higher accuracy, real-time translation, and simpler integration than Azure for Gujarati.
Developers choose Soniox for accuracy in Gujarati
Gujarati is spoken by 56 million people worldwide — primarily in India, with speakers around the world. Developers need transcription and translation that can keep up. Soniox delivers Gujarati speech recognition that works in the real world: accurate across accents, fast in live streaming, and seamless with translation built-in.
Azure Speech-to-Text, while integrated with Microsoft's ecosystem, comes with tradeoffs: lower accuracy in noisy audio, laggier streaming, and more complexity when combining multiple services.
Soniox makes it simple. One API gives you transcription, two-way translation, diarization, timestamps, and confidence – without hidden costs or extra steps.
Higher accuracy in Gujarati speech
Soniox delivers production-ready accuracy on real-world speech: 7.8% WER in Gujarati vs 62.8% for Azure.
Streaming that feels live
Apps feel smooth and human with token-level updates, refinements, and full transcript control in Gujarati.
One API for transcription + translation
Soniox includes transcription + two-way translation and more in Gujarati with one call. Azure requires separate Translator and Custom Speech.
Helping startups and enterprises ship real world voice apps
See the difference for yourself
Don't just take our word for it. Run the same Gujarati audio through Soniox and Azure in real-time and compare live results, side by side.
This demo isn't pre-recorded. It makes real API calls to Azure and Soniox in real-time, with each service tuned for its best performance. The framework is open source, so you can inspect or run it yourself.
SONIOX VS AZURE AT A GLANCE
The benchmarks back it up
In a 2025 study across 60 languages and real-world YouTube audio, Soniox reached 7.8% WER in Gujarati vs 62.8% for Azure.
View the full benchmark report| Feature | Sonioxstt-rt-v3 | Azureen-US-Conversation |
|---|---|---|
| open_in_newSingle Multilingual Model | check | close |
| open_in_newLanguage Hints | check | close |
| open_in_newLanguage Identification | check | warning* |
| open_in_newSpeaker Diarization | check | warning |
| open_in_newCustomization | check | check |
| open_in_newTimestamps | check | check |
| open_in_newConfidence Scores | check | check |
| open_in_newTranslation One Way | check | check |
| open_in_newTranslation Two Way | check | close |
| open_in_newEndpoint Detection | check | check |
| open_in_newManual Finalization | check | close |
Pay 2-5x less than Azure
With Soniox, transcription, translation, diarization, timestamps, and confidence are all included in one price. Azure charges more per hour and requires multiple services (Speech-to-Text + Translator + Custom Speech) for the same functionality.
Effective hourly cost
(typical speech)
Soniox
~$0.10/hour (async)
~$0.12/hour (streaming)
Azure
~$0.24–0.48/hour (depending on region/model)
Takeaway
Soniox costs 2–5x less than Azure, with all features included in one API. At scale, that means saving thousands while reducing integration overhead.
- Soniox bills per token, which works out to the effective hourly rates above for typical speech.
- Azure pricing varies by region, model, and usage tier. Translation via Azure Translator is billed separately, and Custom Speech may add further costs.
- Comparisons use publicly listed rates as of 2025. Benchmarks and pricing are based on real-world audio workloads, with each service configured for best available performance.
Why teams choose Soniox over Azure for Gujarati
Engineered for real-world accuracy in Gujarati.
"It just gets the words right — any language, any accent, any context. That’s what accuracy is supposed to look like."
Tony Wang,
Cofounder & Chief Revenue Officer at Agora
Shockingly precise in ultra real time.
"It’s so fast, captions appear before people even finish talking. Zero lag. No buffering. Nothing."
Dag-Inge Aas,
Head of AI at Tana
Understand the rhythm of real Gujarati speech
"Soniox knows who’s speaking and when each thought ends. The real-time transcripts read like true dialogue, not data dumps."
Adam Strom,
Co-Founder & President at Mobius MD
Build once in Gujarati. Deploy everywhere.
Built-in domain intelligence.
"Soniox's ability to accurately transcribe complex medical terminology means our physician-customers spend significantly less time editing. This allows them to finalize their notes faster and focus on what matters most: patient care."
Max Malyk,
Vice President at DeliverHealth
Fluent at any speed
Watch Soniox keep up with fast speech in any language
Chinese to English in real-time
Very fast speaking Spanish translated in real-time in English
Real time translation from Japanese to English
Real-Time Translation Demo | From German to English
French speech to Text | Leslie Talks About Monster eating a Cake
Russian to English
Speaking Super Fast in Italian – Soniox still translated every word into English
Korean to English in real-time
Real-Time from Slovenian to English
Valeria Juri Reads Ukrainian Poem “Мовчати” | Live English Translation
Frequently asked questions about Soniox vs Azure
1.Is Soniox cheaper than Azure for Gujarati?arrow_downward
2.Does Azure support more languages than Soniox?arrow_downward
3.Do I need multiple APIs for Gujarati with Azure?arrow_downward
4.Does Azure support diarization and timestamps?arrow_downward
5.Can Soniox handle multiple languages, such as English and Gujarati, in one stream?arrow_downward
6.Does Azure support two-way translation?arrow_downward
Soniox surpasses Azure in any language
Get the most accurate, real-time speech-to-text transcription and translation in 60+ languages
Build faster with one API
Explore the docs
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