Pronunciation and language variety
Use correctly ordered Urdu text and review names and borrowed terms. Urdu and Hindi share many spoken forms, but script handling and audience expectations need separate checks.
PyAI Hear
Urdu speech to text
Urdu speech to text converts spoken Urdu into a written transcript. Use streaming recognition during a call or recorded transcription when you already have the audio.
· Coming soon — availability unconfirmed; no launch date announced
Prepare your workflow
This is an educational preview. This language and feature combination is not confirmed in the current catalog. Confirm availability before integrating it.
آپ کی اپائنٹمنٹ جمعرات کی صبح دس بجے ہے۔ کیا آپ اسے تبدیل کرنا چاہیں گے؟Check the date, the time and the question as one complete utterance. Ask a speaker from your target audience to review the wording.
How Urdu speech to text works
Speech to text converts spoken audio into written words. Streaming recognition produces revisable partial text during a conversation; recorded transcription processes an uploaded recording.
Turn customer calls into searchable transcripts, useful summaries and reviewable quality evidence. Use Hear when your application needs text from speech. Keep streaming partials separate from final transcripts, and use speaker diarization on supported recorded-transcription jobs when you need speaker turns.
The complete conversation
Test Urdu-English switching, polite service language and spoken amounts. Keep right-to-left text readable in transcripts and review the actual spoken result.
How PyAI approaches speech to text
Quality on the actual call
Evaluate the audio your callers hear, the details the system captures and the action it completes. Native 8 kHz phone audio is available in Omni; use the supported audio format for each product.
A clear integration path
Hear and Speak offer OpenAI-compatible speech endpoints. Omni uses the realtime PyAI SDK. Pair the conversation with AMD, Trace, Recap and managed telephony where your workflow needs them.
Predictable usage billing
Review the product meter, sandbox limits and managed telephony terms on the pricing page. Cloning enrollment and prompt-to-voice design are free; generated speech follows synthesis billing.
Published reference: ~200 ms Hear first partial, in-region. Source: Live in-region, streaming partials; benchmark snapshot 2026-06-24. These are in-region reference measurements, not a language-specific result or latency guarantee. Network, load and deployment affect what you observe. Read the measurement context.
Steps to evaluate when support is available
- 01
Choose recorded transcription or a realtime Hear stream for your audio.
- 02
Select a supported language or automatic detection where available, and supply relevant vocabulary.
- 03
Use final transcript text in your workflow; review critical names, amounts and corrections against the audio.
Voices, accents and your own voice
Choose a Urdu voice from the current catalog where available, and listen to your own names, amounts and full sentences. A language label does not promise every regional accent. For generated speech, you can also enroll a voice you have permission to use or design a voice from a prompt. Verify language and product compatibility before using the result.
Listen to the voice directoryPut it to work
Call review
Preserve the words, corrections and outcome a reviewer needs to understand what happened.
Post-call handoff
Turn the conversation into useful context for the next team member.
Compare on the workflow you need
Comparing PyAI with Deepgram? Use the same noisy phone recordings and score business details as well as word error rate. Measure first partial and final text separately.
Read the comparison and migration guidanceUrdu speech to text FAQ
What is Urdu speech to text?
Urdu speech to text converts spoken Urdu into a written transcript. Use streaming recognition during a call or recorded transcription when you already have the audio.
Does PyAI support Urdu speech to text?
Urdu speech to text is not confirmed in the current PyAI product catalog. This page is an educational preview; no launch date is announced. Ask PyAI about availability before planning an integration.
How do I get started with Urdu speech to text?
Learn the workflow and prepare representative Urdu examples. Confirm product availability with PyAI before sending audio or configuring a customer workflow.
How much does it cost, and can I test it first?
PyAI offers sandbox testing with limits. Live usage follows the product's billing terms; see https://pyai.com/pricing for current rates, inclusions and managed telephony charges. Free testing does not mean unlimited free production usage.
Can I keep my existing application?
Hear and Speak expose OpenAI-compatible speech APIs. Update your base URL and credentials, select supported language and voice options, and validate the response formats your application uses.
What should I check for Urdu?
Use correctly ordered Urdu text and review names and borrowed terms. Urdu and Hindi share many spoken forms, but script handling and audience expectations need separate checks. Test Urdu-English switching, polite service language and spoken amounts. Keep right-to-left text readable in transcripts and review the actual spoken result.
Can I use a cloned or designed voice?
Speak supports stock, cloned and prompt-designed voices. Cloning enrollment and voice design are free; synthesis follows the current billing terms. Use a voice you have permission to reproduce and verify its intended language and product compatibility.