AI voice workflow

Voice to text

Turn voice messages and spoken recordings into text. Voice-to-text workflows save time in support, sales, meetings and compliance.

Use case

Voice messages
Call recordings
Meeting audio
Support notes

Make voice messages searchable

Telegram, call-center and meeting recordings are hard to use if they stay only as audio. STT converts them into text.

Uzbek, Russian and English flows

Voice to text is close to audio transcription, but it focuses on spoken-message and speech workflows directly.

Ready for analysis

Once text is available, it can be searched, summarized or analyzed through Call Metrics.

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 Voice 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 a voice recording.

2

Aisha STT converts speech into text.

3

Connect the transcript to search or analytics.

Frequently asked questions

Is voice to text the same as audio to text?

The technology overlaps, but this page focuses on the specific workflow around speech and voice messages.

Can voice messages be transcribed?

Yes. Supported audio formats can be uploaded or sent through the API.

Can transcripts go to CRM automatically?

Yes. API integration can send transcripts to internal systems.