# Audio Transcription

<figure><img src="https://3671940875-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8M2Shm91nON8AOnGVpge%2Fuploads%2FXMlisSgGMBaYOC46omPr%2FDeeptrain%20ATS.png?alt=media&#x26;token=6d216ee9-1c73-4bc2-8a5c-156326418efa" alt=""><figcaption></figcaption></figure>

## What is audio transcription?

Transcribe API offers real-time audio transcription with a state-of-the-art zero latency architecture. This service can be used to create communicable AI agents that can read human voice.

## Transcribe's Audio Transcription vs Other services

| Feature                   | Deeptrain's Transcribe API | Other Transcription Service |
| ------------------------- | -------------------------- | --------------------------- |
| Real-time Transcription   | ✅                          | ❌                           |
| Noise Cancellation        | ✅                          | ❌                           |
| One-click LLM Integration | ✅                          | ❌                           |
| Multilingual Optimised    | ✅                          | ❌                           |
| Mid-way Interruption      | ✅                          | ❌                           |
| Asynchronous handling     | ✅                          | ❌                           |

## Who is this for?

Audio Transcription is a life-saver for developers and enterprises building audi-first AI agents to talk and interact with their users. It is also helpful for platforms leveraging speech-to-text in their tech.


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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://deeptrain.gitbook.io/documentation/getting-started/transcribe-api/audio-transcription.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.