---
title: Transcription Features
slug: transcription-features
description: Introducing ElevateAI, the ultimate contact center solution offering precise speech-to-text transcription. With advanced transformer-based technology, this system delivers high accuracy when transcribing calls. Rest assured, your personal information is p
docTags: 
createdAt: 2022-06-14T14:59:17.000Z
---

# <font color="#3694fc">//</font>  Introduction

**Accurate transcription** is essential for downstream analytics, making **speech-to-text (STT)** one of the most valuable capabilities in modern contact center solutions. Yet call center audio presents unique challenges – such as background noise, overlapping conversations, and telephony limitations that affect quality.

**NiCE ElevateAI&#x20;**&#x61;ddresses these challenges with decades of research and billions of real-world contact center interactions. Our platform deliver&#x73;**&#x20;high-accuracy conversational transcripts** through two purpose-built models:

- **CX Model** – optimized for contact center environments
- **Echo Model** – next-generation transcription for global, multilingual use cases

**Transcript formats available:**

- **[Phrase-by-phrase](docId\:Lb05bq-53XEiIWV5lXi9k)**
- **[Punctuated, sentence-by-sentence](docId\:ETiGRCBkICBUnyR5t0RYg)**

This flexibility ensures seamless integration into **analytics**, **compliance**, and **customer experience (CX) workflows**.

# <font color="#3694fc">//</font>  Transcription Models

## What's New

- **November 2024 →** We introduced **Echo**, our next-generation transcription model. Built for accuracy at scale, Echo delivers up to **40% higher accuracy** than our original CX model, ensuring superior transcription quality across a wide range of use cases.
- **July 2025 →&#x20;**&#x57;e expanded Echo with the launch of **Echo Real-Time Transcription**, enabling enterprises to capture conversations instantly with the same industry-leading accuracy.

Use our new **[Fast Start Program](https://docs.elevateai.com/#iwwlY)** to try Echo today – no contract, no credit card required. Explore both **real-time** and **post-call** transcription with 10 free interactions per day.

***

## Transcription Models at a Glance

**Choose the ElevateAI transcription model** that best suits your workflow:

| **Model**      | **Best For**                       | **Key Strengths**                                                                                                                      |
| -------------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------- |
| **CX Model**   | Contact center environments        | - Optimized for multi-speaker conversations<br />- \<10% WER on call center audio<br />- Real-time sentiment & compliance insights     |
| **Echo Model** | Global, multilingual transcription | - 40% accuracy improvement over benchmarks<br />- 50+ languages & dialects with auto-detection<br />- Scales for high-volume workflows |

- **When to use CX** → Customer service conversations, compliance/QA, and real-time insights monitoring
- **When to use Echo** → Multilingual transcription, global media (interviews, podcasts, videos), and enterprise workflows at scale



:::hint{type="info"}
**PRO TIP**: Many enterprises combine both models – using **Echo&#x20;**&#x66;or fast, accurate real-time transcription across global operations and **CX** for complex contact center interactions enriched with Enlighten AI and CX AI insights.
:::

## Selecting the Echo Model

To use the Echo Transcription model, add the body parameter **`model`** to your POST declare and set the value to **`echo`** when declaring an interaction.

:::hint{type="danger"}
**NOTE:** Currently, **the Echo model does not perform redaction**.&#x20;

Future releases will continue to move Echo towards feature parity with the CX transcription model; [access the latest ElevateAI Release Notes](https://docs.elevateai.com/changelog).
:::

## Switching Between Echo and CX Models

- Our original, purpose-built **CX model** can be used by omitting the model parameter or setting it to `cx`

# <font color="#3694fc">//</font>  PII Redaction

**Personally Identifiable Information (PII)** such as social security numbers, credit card numbers, and CVV/CVC numbers is **automatically redacted** before a transcript is stored or returned.

:::hint{type="info"}
**IMPORTANT:** PII redaction is available **only with the CX transcription model**.

The Echo model does not currently support PII redaction, and any media processed with Echo will not be redacted.
:::

When retrieving either a [Phrase-by-phrase](docId\:Lb05bq-53XEiIWV5lXi9k) or [Punctuated Transcript](docId\:ETiGRCBkICBUnyR5t0RYg), details on each redacted segment – including timing, type, and confidence score – are also returned.



:::::VerticalSplit{layout="middle"}
::::VerticalSplitItem


:::hint{type="info"}

**Remember:** All source data is deleted immediately and promptly upon processing.<font color="#000000"> </font>

Please refer to our [Data Retention & Security Guidelines](https://docs.elevateai.com/overview#MYWqd) for additional details. <font color="#21212b">uidelines for additional details.</font>
:::


::::

::::VerticalSplitItem
:::CodeblockTabs
Sample Transcription Output

```json
{
    ...
    "redactionSegments": [
        {
        "startTimeOffset": 1467720,
        "endTimeOffset": 1468030
        "result": "CVV",
        "score": 0.98745
        },
        ...
    ]
}
```
:::
::::
:::::

***

# <font color="#3694fc">//</font>  Speaker Labels

ElevateAI automatically associates each phrase in a transcript with a participant (**up to two speakers**) in both [Phrase-by-Phrase](docId\:Lb05bq-53XEiIWV5lXi9k) and [Punctuated](docId\:lUBKnfsfjJ9ZA79mM-kdN) transcript formats.&#x20;

## Speaker Diarization

With **Speaker Diarization**, ElevateAI distinguishes between participants in a conversation –  delivering cleaner transcripts and enabling more reliable analytics.

**CX Model →&#x20;**&#x53;upports automatic speaker diarization for both **Mono (single-channel)** and **Stereo (dual-channel)** audio inputs.

**Echo Model →&#x20;**&#x52;ecently expanded to support automatic diarization for **Stereo (dual-channel)&#x20;**&#x61;udio, with additional capabilities in progress to bring feature parity with the CX model.

The system distinguishes between speakers – labeling them as **`participantOne`** and **`participantTwo`** – and tags each phrase accordingly.

Key benefits of Speaker Diarization include:

- **Improved transcript clarity →&#x20;**&#x45;ach speaker's statements are clearly attributed, making transcripts easier to read and review.
- **Simplified post-processing →&#x20;**&#x41;ccurate labels enable downstream automation for analytics, summarization, and role assignment.
- **Enhanced compliance & QA →&#x20;**&#x43;lear speaker separation helps meet regulatory requirements and streamlines quality assurance workflows.

:::hint{type="info"}
**NOTE:** Diarization currently supports **two speakers** (participantOne, participantTwo) and is automatically applied when using supported models and audio formats.
:::

## Channel Labels

For **dual channel audio files** – e.g., a phone recording with the agent and customer on separate channels – ElevateAI automatically associates each phrase with the correct channel.

Using stereo recordings does **not affect processing speed or fees**, making it a flexible option for contact center workflows.

Leveraging stereo recordings *does not impact* processing speed or fees.

- [View pricing information](https://www.elevateai.com/pricing/)
- [Learn more about audio, chat, and transcript processing times](https://docs.elevateai.com/#CcDVe)

****

**Need more help?** Contact the [ElevateAI Support team](mailto\:support@elevateai.com).&#x20;
