Soniox vs Google
for Persian speech-to-text
Higher accuracy, real-time features, and up to 7x lower cost than Google for Persian transcription.
Developers choose Soniox for accuracy that scales in Persian
Persian is spoken by 110 million people worldwide — across Iran, Afghanistan, Tajikistan, and beyond. Soniox delivers production-ready transcription and translation for Persian, handling regional accents, code-switching, and real-world audio conditions.
Google Cloud Speech-to-Text supports 100+ languages, including Persian, and integrates with Google Cloud, but accuracy drops in noisy or overlapping speech. Streaming feels laggy, and developers often juggle multiple models or pair it with the Translation API to fill gaps. Soniox delivers higher accuracy, faster streaming, and all features in one API at up to 7x lower cost.
Top accuracy in Persian on real-world speech
Persian Word Error Rate 10.9% for Soniox vs 21.7% for Google (lower is better).
Streaming that feels live
Token-level updates in milliseconds, with manual finalization and endpoint detection .
Lower cost, higher value
Soniox is 2-7x cheaper than Google (~$0.10–0.12/hr vs ~$0.24–0.72/hr)
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 Persian audio through Soniox and Google in real time and compare live results, side by side.
This demo isn't pre-recorded. It makes real API calls to Google 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 GOOGLE AT A GLANCE
The benchmarks back it up
In a 2025 study across 60 languages and real-world YouTube audio, Soniox reached 10.9% WER in Persian vs 21.7% for Google.
View the full benchmark report| Feature | Sonioxstt-rt-v3 | Googlechirp_2 |
|---|---|---|
| open_in_newSingle Multilingual Model | check | check |
| open_in_newLanguage Hints | check | close |
| open_in_newLanguage Identification | check | close |
| open_in_newSpeaker Diarization | check | close |
| open_in_newCustomization | check | close |
| 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 | warning |
| open_in_newManual Finalization | check | close |
“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
Accuracy where it counts. Speed when it matters
Accuracy you can trust.
Soniox delivers transcripts you can trust in messy, real-world Persian audio: noisy calls, YouTube clips, or overlapping speakers.
Google lists 100+ languages, but accuracy often drops outside of clean, controlled audio.
Streaming that feels natural.
With token-level updates, Soniox keeps captions and assistants in sync. Non-final → final refinements, manual finalize, and endpoint detection give you full control for Persian.
Google streams in larger chunks, adding lag and making transcripts jump. No token-level updates, no finalize, no endpoint detection.
One model for global speech.
Persian transcription, translation, diarization, timestamps, and confidence – all in one model that auto-detects languages and supports mid-conversation shifts.
Google makes you pick languages and model variants up front, with no auto-detect and fragmented endpoints.
Lower cost, simpler ops.
At ~$0.10–0.12/hr, Soniox includes all features. Google costs $0.24–0.72/hr and often requires adding Translation API calls.
With Google, you pay more and manage more.
Pay 2-7x less than Google
With Soniox, everything is included in one price: transcription, streaming, diarization, translation, timestamps, and confidence. Google charges more per hour, and enhanced models cost even more.
Effective hourly cost
(typical speech)
Soniox
~$0.10/hour (async)
~$0.12/hour (streaming)
~$0.24–0.36/hour (standard), ~$0.72/hour (enhanced)
Takeaway
Soniox costs 2–7x less than Google, while delivering higher accuracy and richer features. At enterprise scale, the savings are even clearer: over 3 years, Soniox can save companies hundreds of thousands of dollars compared to Google.
- Soniox bills per token, which works out to the effective hourly rates above for typical speech. Google's pricing varies by model and region, and "enhanced" models cost significantly more.
Fluent at any speed
Watch Soniox keep up with fast speech in any language
Chinese to English in real time with SONIOX
Very fast speaking Spanish translated in real time in English with SONIOX!
Real time translation from Japanese to English
Real-Time Translation Demo | From German to English with SONIOX
French speech to Text | Leslie Talks About Monster eating a Cake
Russian to English with SONIOX
Speaking Super Fast in Italian – Soniox still translated every word into English
Korean to English in real time with SONIOX
Real-Time from Slovenian to English with SONIOX
Valeria Juri Reads Ukrainian Poem “Мовчати” | Live English Translation by Soniox
Frequently asked questions about Soniox vs Google
1.How accurate is Soniox vs Google for Persian?arrow_downward
2.Is Soniox cheaper than Google Speech-to-Text?arrow_downward
3.Does Google support more languages than Soniox?arrow_downward
4.Does Google support diarization and timestamps?arrow_downward
5.Can Soniox handle multiple languages in one stream?arrow_downward
6.Can Soniox handle multiple Persian dialects?arrow_downward
7.How does Soniox streaming compare to Google's?arrow_downward
8.Do I need multiple APIs with Google?arrow_downward
9.Does Google support two-way translation?arrow_downward
Soniox surpasses Google in any language
Get the most accurate, real-time speech-to-text transcription and translation in 60+ languages
Build faster with one API
Start building
Create your account and generate an API key. Includes $200 in free credits.
Get API keyExplore the docs
Find guides, API reference, and code samples to help you build fast.
docs_add_onView docs