> ## Documentation Index
> Fetch the complete documentation index at: https://docs.talkturo.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Read call transcripts and AI summaries

> Open any call to read the full conversation transcript, view the AI-generated summary, check the success evaluation, and see data extracted for your CRM.

Every call that flows through Talkturo produces a full text transcript of the conversation. Talkturo also runs an AI analysis pass after each call ends — generating a summary, a success evaluation, and any structured data your assistant was configured to extract. You can read all of this directly in the Call Logs detail view, or retrieve it via the API.

## Opening a transcript

<Steps>
  <Step title="Go to Call Logs">
    Navigate to **Call Logs** in the left sidebar.
  </Step>

  <Step title="Find the call">
    Use the filter bar to locate the call you want to review — filter by assistant, campaign, phone number, or search by call ID.
  </Step>

  <Step title="Open the detail panel">
    Click the magnifying glass icon at the left of the row, or click anywhere on the row itself. The **Call Detail** panel slides open.
  </Step>

  <Step title="Select the Transcripts tab">
    In the tab bar, click **Transcripts**. The full conversation text appears in the panel.
  </Step>
</Steps>

## Transcript format

The **Transcripts** tab displays the raw conversation text captured by the speech-to-text engine. The text preserves the natural flow of the conversation, including pauses and interruptions as they occurred.

For a message-by-message view with speaker labels and timestamps, switch to the **Messages** tab. Each message entry shows:

* **Speaker role** — `assistant` (the AI), `user` (the caller), or `system` (internal events).
* **Timestamp** — The Unix time the message was recorded, displayed as a human-readable date and time.
* **Message text** — What was said, shown in a monospace font.

## AI-generated analysis

After a call ends, Talkturo automatically runs an analysis pass on the transcript and writes the results to the **Analysis** tab. This tab has four sections:

<Accordion title="Summary">
  A plain-English paragraph written by the AI that describes what happened in the call — who the caller was, what they asked or discussed, and how the conversation concluded. The summary is generated from the full transcript, not just the last few messages.
</Accordion>

<Accordion title="Success evaluation">
  A `true` or `false` value that indicates whether the call met the success criteria defined in your assistant's configuration. Use this field to calculate your assistant's completion rate across a campaign.
</Accordion>

<Accordion title="Data">
  Structured JSON containing any information your assistant was configured to extract during the conversation — for example, a contact's email address, appointment preference, or qualification status. This data feeds directly into CRM field updates.
</Accordion>

<Accordion title="Metadata">
  Additional structured data captured by the assistant — call metadata, custom tags, or any extra context your assistant appended during processing.
</Accordion>

## Sentiment analysis

Talkturo's AI analysis includes a sentiment signal embedded in the summary and success evaluation. While there is no separate sentiment score field, the analysis summary will describe the caller's tone (e.g., "the caller expressed frustration" or "the caller responded positively"). Use the success evaluation field as a proxy for call sentiment at scale — a `false` evaluation on a completed call often correlates with a negative interaction.

## How transcripts feed into CRM updates

After each call, the extracted **Data** from the Analysis tab is written back to the matching contact record in your CRM. If the assistant extracted an email address, that value populates the contact's email field. If a custom field was targeted (e.g., `lead_score`), it is created or updated automatically.

This pipeline runs without any manual action on your part. You can review exactly what was extracted by opening the Analysis tab for any call.

## Retrieve a transcript via API

To fetch a call's full details — including transcript, analysis, recording URL, and message log — use the following endpoint:

```http theme={null}
GET /api/calls/{call_id}
Authorization: Bearer <token>
```

**Example response (abbreviated)**

```json theme={null}
{
  "id": "row-uuid",
  "call_id": "call-uuid",
  "transcript": "Hello, this is Alex from Talkturo...",
  "call_analysis": [
    {
      "summary": "The caller inquired about pricing for the Pro plan...",
      "success_evaluation": true,
      "data": {
        "email": "alex@example.com",
        "interested_plan": "pro"
      },
      "metadata": null
    }
  ],
  "call_messages": [
    {
      "role": "assistant",
      "time": 1714000000000,
      "message": "Hello! How can I help you today?"
    },
    {
      "role": "user",
      "time": 1714000005000,
      "message": "Hi, I'd like to know about your pricing."
    }
  ]
}
```

<Note>
  The `call_id` in the URL is the full UUID shown at the top of the Call Detail panel, not the 8-character truncated version displayed in the table.
</Note>

## Related pages

* [View and filter your call history](/en/analytics/call-logs) — Find and filter calls before opening transcripts.
* [Download and manage call recordings](/en/analytics/recordings) — Listen to or download the audio alongside the transcript.