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.
PyAI Recap
Open the existing product experience, choose the matching settings and evaluate your actual words or recording.
An AI call summary turns a conversation into a concise record of the caller's request, outcome and next steps. Structured summaries can also supply dispositions and fields for downstream business systems.
Give the next person useful context without making them reread the whole call transcript. Recap produces post-call intelligence; Hear supplies transcription and Trace supports quality evidence. Keep a proposed action separate from a completed action in every summary.
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.
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.
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.
Provide the completed call context through the documented Recap workflow.
Choose the summary and structured fields that match your team's handoff.
Review commitments and outcomes against the conversation before writing consequential updates to your business systems.
Listen to stock voices before choosing the voice for your workflow. 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 directoryPreserve the words, corrections and outcome a reviewer needs to understand what happened.
Turn the conversation into useful context for the next team member.
Compare post-call tools on attribution, supported fields and factual consistency with the transcript, especially when a caller corrects a detail or an action fails.
Read the comparison and migration guidanceAn AI call summary turns a conversation into a concise record of the caller's request, outcome and next steps. Structured summaries can also supply dispositions and fields for downstream business systems.
Recap produces post-call intelligence; Hear supplies transcription and Trace supports quality evidence. Keep a proposed action separate from a completed action in every summary.
Provide the completed call context through the documented Recap workflow. Choose the summary and structured fields that match your team's handoff. Review commitments and outcomes against the conversation before writing consequential updates to your business systems.
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.
Start with the product's documented API and integration guide. Omni uses the PyAI realtime SDK; an OpenAI-compatible speech endpoint does not make every realtime or workflow API interchangeable.
Test representative names, dates, amounts, audio conditions and corrections. For agents, include business-tool failures and handoff to a person; inspect the observed outcome, not just a transcript.
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.