AI voice workflow

AI speech recognition

Convert audio files, meetings and calls into searchable text. Aisha STT prepares transcripts for analytics, reporting and workflow automation.

Try STT API docs

Use case

Call-center recordings

Meeting transcription

Voice messages

QA and compliance

What speech recognition solves

Manual transcription of call recordings, voice messages and meetings is slow. STT automates the first step and makes audio usable for search and analysis.

For real multilingual business audio

Central Asian conversations often mix Uzbek, Russian and English terms. Aisha STT is aimed at those practical business recordings, not only clean demo audio.

Connect transcripts to analytics

Transcripts become the foundation for Call Metrics: intent detection, quality review, sentiment, handoff reasons and operator workload analysis.

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 AI speech recognition, 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.

How it works

Upload audio or send it through the API.

Aisha STT transcribes speech and separates speaker segments.

Use the transcript in search, CRM or call analytics.

Speech to text STT API docs Call metrics

Frequently asked questions

Can Aisha transcribe Uzbek audio?

Yes. Aisha STT is used for Uzbek, Russian and English speech-to-text workflows.

Does it support speaker diarization?

Yes. Speaker-separated segments can be requested for supported workflows.

Can I get results through an API?

Yes. The STT API supports upload, status checks and transcript retrieval.