What does it solve?
This page maps send audio to a backend workflow and receive transcripts for review, search and analytics to Aisha voice AI products. The goal is to move a visitor from a broad query to the right TTS, STT or API workflow quickly.
Quick answer
Speech to text API is built to help visitors choose the product path, API path and validation workflow.
How does it connect?
Speech-to-Text API with audio upload, transcript retrieval and downstream processing gives teams a practical validation path before connecting the workflow to a backend, call-center, CRM or product surface.
Geo and multilingual context
developers building transcription workflows for calls, support, QA and multilingual operations. The page uses a self-canonical URL, hreflang and internal links to support discovery for that language and region.
Return audio data to your product
The STT API helps teams extract text from recordings without manual transcription. This matters for call-center, CRM and compliance workflows.
Diarization and status checks
Multi-speaker recordings may need speaker segments, and longer files need task status tracking.
Foundation for call analytics
Transcripts can feed intent detection, sentiment review, quality checks 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 Speech to text API, 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 through the API.
2
Check task status or wait for a webhook.
3
Push the transcript to CRM or analytics.
Related pages
STT language pages
API and developer paths
Use case pages
Related pages
Frequently asked questions
Can the speech-to-text API process Uzbek audio?
Yes. Aisha STT is used for Uzbek, Russian and English transcription workflows.
Can it process larger files?
Larger audio can be handled through the asynchronous task flow.
Where are the endpoints documented?
The speech-to-text API documentation explains upload, status and transcript retrieval.