# Overview

<figure><img src="https://1767372289-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKaDVy4leVobAfOfVNuic%2Fuploads%2FLvHNWwSnrNCSjsI4jhbC%2FSpeechace-API-Card.png?alt=media&#x26;token=2c1b9486-162b-4fcc-b785-f5c857841b5f" alt="Speechace API Developer Documentation"><figcaption></figcaption></figure>

Speechace API is a Speech Recognition and Assessment API for comprehensive spoken language assessment. Speechace’s patented technology is unique in its ability to automatically evaluate the spoken language proficiency of a learner and present scores aligned with standard language proficiency rubrics such as IELTS and CEFR.

Speechace supports a range a wide range of assessment item types from phoneme and word pronunciation to comprehensive spontaneous speech evaluation.

The Speechace API allows for the submission of audio files for evaluation and provides detailed assessment on pronunciation, fluency, grammar, coherence, vocabulary, and relevance. It utilizes standard HTTP response codes and authentication mechanisms to ensure secure and reliable communication.

## Target Audience

The Speechace API is for developers of a variety of applications who need to use AI to assess and improve speech and language skills, whether for assessment or training purpose. Some of the examples are:

1. Language learning providers and applications
2. Recruiting, Screening and Assessment Software
3. Language Test preparation platforms (IELTS, PTE, TOEFL, CEFR and others)
4. K-12 Learning Platforms
5. Learning Management Systems
6. Early Literacy training and assessment applications
7. Speech Therapy and Speech Pathology applications


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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/introduction/overview.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.
