Skip to content

PyAI Recap

AI call summary

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.

Try the product with your own example

Open the existing product experience, choose the matching settings and evaluate your actual words or recording.

How AI call summary works

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.

How PyAI approaches ai call summary

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.

How to use AI call summary with PyAI

  1. 01

    Provide the completed call context through the documented Recap workflow.

  2. 02

    Choose the summary and structured fields that match your team's handoff.

  3. 03

    Review commitments and outcomes against the conversation before writing consequential updates to your business systems.

Read the API and workflow guides

Voices, accents and your own voice

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 directory

Put it to work

Call review

Preserve the words, corrections and outcome a reviewer needs to understand what happened.

Compare on the workflow you need

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 guidance

AI call summary FAQ

What is AI call summary?

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.

When should I use AI call summary?

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.

How do I get started with AI call 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.

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?

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.

What should I test before using it for customer calls?

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.

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.

Current pricing and billing terms

Keep exploring

Try the workflow your customers will use