AI voice workflow

Transcribe audio

Convert audio recordings into text for reporting, search, QA and customer-experience analysis.

Use case

Audio archives
Call transcripts
Meeting transcripts
Research notes

Turn audio archives into usable data

Audio files should not stay buried in storage. Transcription turns them into text that can be searched and analyzed.

For calls and meetings

Customer conversations, meeting recordings and operator dialogues can share the same STT workflow.

Scale through the API

If you have many audio files, an API-based transcription pipeline is more reliable than manual uploads.

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 Transcribe audio, 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

Upload an audio file.

2

Wait for transcription to complete.

3

Export or integrate the finished text.

Frequently asked questions

Which languages can Aisha transcribe?

Aisha STT is used for Uzbek, Russian and English transcription workflows.

Can MP3 files be transcribed?

Supported formats and limits are listed in the STT API documentation.

Is speaker diarization available?

Yes. Diarization is available for supported workflows.