How does PyAI support Arabic speech-to-text?
Arabic speech-to-text is available through PyAI Hear, alongside the rest of the PyAI voice stack. Use the standard product endpoint and select the matching language or voice for your application.
Transcribe Arabic customer calls with explicit MSA and Gulf coverage. Hear supports native recordings and realtime phone audio through one transcription path.
العربية
Build Arabic calling experiences with distinct coverage for Modern Standard Arabic and Gulf conversations across speech recognition, voices and complete agents.
MSA is evaluated for formal service language, announcements, explanations and scripted information.
The first dialect track uses native Gulf recordings, beginning with Saudi and Hijazi/Najdi coverage rather than treating all Arabic as one accent.
Choose Modern Standard Arabic or Gulf Arabic explicitly for the market and conversation you serve.
Evaluate MSA and Gulf speech separately so one passing variety does not become a blanket Arabic claim.
Test names, digits, amounts, dates, confirmations and corrections that matter in service and financial calls.
Use the normal transcription API for both supported Arabic tracks.
Built on PyAI Hear
Select Modern Standard Arabic or Gulf Arabic in Hear.
Send batch or realtime phone audio through the existing transcription interface.
Confirm critical names, numbers and transactions before committing downstream actions.
Language quality
Language quality covers meaning, pronunciation, audio clarity, business details and the complete product path customers use.
Arabic speech-to-text is available through PyAI Hear, alongside the rest of the PyAI voice stack. Use the standard product endpoint and select the matching language or voice for your application.
Modern Standard Arabic and Gulf Arabic are supported as distinct varieties. Gulf coverage includes native Saudi speech.
Yes. Select the supported MSA or Gulf identifier for the conversation rather than treating Arabic as one universal dialect.
Word error rate is combined with native and independent semantic review because a low aggregate error rate can still hide material mistakes in names, amounts or intent.
Building for Arabic? Tell us the language variety, call type and monthly volume. We will help map the right Hear, Speak or Agents setup.