Post-call extraction: turn every call into structured data

The short answer: when a call ends, Vanie AIautomatically turns the recording into clean, structured data — a summary, sentiment, action items, key quotes, and any custom fields you define — stored against the call and written into the built-in CRM. Every call becomes searchable, reportable data with nobody taking notes.

The problem: calls are dark data

A phone call is the richest signal a customer gives you and the easiest to lose. The moment it ends, what was said lives only in an agent's memory and a half-finished note. Multiply that across hundreds of calls and you have no reliable way to know what customers asked for, how they felt, or what needs following up. Post-call extraction turns that dark data into structured rows.

What gets extracted

After each call, the recording is analysed and the model returns a consistent set of fields:

• Summary — a tight recap of what happened and what was agreed.
• Sentiment — how the caller felt, so unhappy calls surface fast.
• Action items — the follow-ups the call created.
• Key quotes — the caller's own words on the things that matter.
• Your custom fields — anything you define: order number, intent, budget, lead quality, preferred callback time.

The custom fields are the powerful part: you tell the agent what matters to your business, and the model fills those fields from the conversation on every call.

Why consistency matters

Every call comes back in the same consistent, structured shape — not free text you have to read and re-key. That is what makes it safe to wire straight into a CRM, a report, or a routing rule. And because it works from the actual recording, the summary reflects what was really said on the call.

What you do with it

Once every call is structured, the workflows write themselves: route negative-sentiment calls to a manager, push lead quality and budget to sales, auto-create follow-up tasks from action items, and report on what customers actually call about. For high call volumes this is the difference between guessing and knowing — see Vanie AI for call centers.

What it costs

Extraction is optional, so you only pay for it when you want it. A voice call bills at 5.5 credits/min for the call plus recording; turn on post-call extraction and it is 7.5 credits/min all-in, where 1 credit = ₹1. See Vanie AI pricing for the full breakdown, and the cost of running a call center in India for how that compares to manual note-taking by agents.

The bottom line

Post-call extraction is what turns a voice agent from “answers the phone” into a system of record. Every call leaves behind a summary, a sentiment, the action items, and the exact fields your business runs on — automatically, on Vanie AI. To see how the call itself works first, read how AI phone agents work.

Frequently asked questions

What is post-call extraction?

After a call ends, Vanie AI automatically turns the recording into clean, structured data: a summary, sentiment, action items, key quotes, and any custom fields you define — stored against the call and written into the built-in CRM.

What fields can it extract?

Out of the box it captures a summary, sentiment, action items, and key quotes. Beyond that you define your own fields — order number, intent, budget, lead quality, callback time — and the model fills them in from the conversation.

How much does extraction cost?

Extraction is optional. A voice call bills at 5.5 credits/min for the call and recording; add post-call extraction and it is 7.5 credits/min all-in, where 1 credit = ₹1. You only pay the extra when you turn extraction on.

Is the output reliable enough to act on?

Yes — you get consistent, structured results in the same shape every time rather than free text you have to parse, and they come from the actual recording rather than a guess.

Where does the extracted data go?

It is stored against each call and surfaced in the dashboard and the built-in CRM, so you can search, filter, and report on calls — and route follow-ups — without anyone taking manual notes.