AI voice workflow

Audio to text

Convert MP3, WAV and other recordings into text. Search, analyze and connect the transcript to CRM or call-center workflows.

Use case

MP3 transcription
Call recordings
Meeting notes
Voice messages

Automate transcription

Listening to recordings and typing notes is slow and expensive. STT turns files into structured text for operational use.

For calls and meetings

Customer calls, sales conversations and internal meetings can be converted into transcripts for follow-up and analysis.

Scale with the API

For many files or longer workflows, the API supports asynchronous processing and status checks.

What user goal does this page cover?

The page is split into product, API and related-workflow blocks so visitors can find the right Aisha path quickly.

Choose the workflow

For Audio to text, start by deciding whether the job is audio generation, transcription or a voice-agent workflow. Then validate it with the demo path and API documentation.

Connect it to the product

Aisha pages connect the Space app, API documentation and call-center or product use cases into one practical path for business and developer teams.

Related searches

The links below connect language pages, API pages and call workflows that serve the same user goal.

How it works

1

Send the audio file.

2

Select language and diarization options.

3

Retrieve the finished transcript.

Frequently asked questions

Which audio formats are supported?

Supported formats and limits are documented in the STT API reference.

Can it handle longer audio?

Larger files can be processed through the asynchronous STT flow.

Can transcripts feed call analytics?

Yes. Transcripts can be connected to Call Metrics and other internal systems.