What does it solve?
This page maps turn calls, meetings, files and voice messages into searchable text 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 is built to help visitors choose the product path, API path and validation workflow.
How does it connect?
Speech-to-Text API, call analytics and CRM/search handoff workflows gives teams a practical validation path before connecting the workflow to a backend, call-center, CRM or product surface.
Geo and multilingual context
teams operating across Uzbek, Russian, English and multilingual customer conversations. The page uses a self-canonical URL, hreflang and internal links to support discovery for that language and region.
Uzbek speech to text - convert voice to text
Transcription for Uzbek, Russian and English, with speaker diarization - one REST API.
How it works
How do you convert a voice message or audio file to text?
Upload an audio file in Aisha Space STT and choose its language. The system transcribes the speech and can separate speakers when more than one person is talking. Use the browser for individual files or the REST API for product integrations.
- 1
Choose the audio
Upload a voice message, conversation or call-recording file.
- 2
Select the language
Choose Uzbek, Russian or English to match the speech in the recording.
- 3
Get the transcript
Review the resulting text and save it for your next workflow.
Capabilities
Understands how people really speak
Converts audio files to text with speaker diarization
State-of-the-art recognition for Uzbek delivers transcripts you can use right away.
Processes audio effectively even in noisy environments
Filters out background noise from call centers, offices, and street recordings.
Identifies multiple speakers through diarization
Automatically labels who said what, so multi-speaker recordings stay readable.
Voice ID feature for speaker recognition and identification
Matches voices to known speakers for verification and personalized workflows.
Handles Uzbek dialects and transforms them into standard text
Understands regional Uzbek dialects and outputs clean, standardized text.