# Handling word scores

The **word-level quality score** helps you assess the pronunciation accuracy of a specific word within a sentence. This score provides insight into how well that particular word was pronounced compared to the expected standard.

<div align="left"><figure><img src="/files/zdgOlhP9DLGzsL4VQeHV" alt="" width="291"><figcaption></figcaption></figure></div>

{% hint style="info" %}
The scale of the quality score can be interpreted from the scoring [guide](/guides-on-common-topics/intepreting-quality-score.md).
{% endhint %}

You can use the `quality_score` at the word level to display the analysis of the spoken response in your app using the following [color codes](/guides-on-common-topics/intepreting-quality-score.md):

<table><thead><tr><th width="118">Score</th><th width="95">Color</th><th>Description</th></tr></thead><tbody><tr><td>90 - 100</td><td>Green</td><td>Excellent. Native or native-like</td></tr><tr><td>80 - 90</td><td>Green</td><td>Very Good and clearly intelligible.</td></tr><tr><td>70 - 80</td><td>Orange</td><td>Good. Intelligible but with one or two evident mistakes.</td></tr><tr><td>60 - 70</td><td>Red</td><td>Fair. Possibly not intelligible with several evident mistakes.</td></tr><tr><td>0 - 60</td><td>Red</td><td>Poor and must be reattempted.</td></tr></tbody></table>

For example, in the case shown below, the `quality_score` for the word "walk" is 65. Consequently, it is displayed in <mark style="color:red;">**RED**</mark> in the question based on the test-taker's response, indicating several evident mistakes in pronunciation.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://api-docs.speechace.com/api-reference/score-text-pronunciation/handling-word-scores.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
