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.
Audio files should not stay buried in storage. Transcription turns them into text that can be searched and analyzed.
Customer conversations, meeting recordings and operator dialogues can share the same STT workflow.
If you have many audio files, an API-based transcription pipeline is more reliable than manual uploads.
The page is split into product, API and related-workflow blocks so visitors can find the right Aisha path quickly.
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.
Aisha pages connect the Space app, API documentation and call-center or product use cases into one practical path for business and developer teams.
The links below connect language pages, API pages and call workflows that serve the same user goal.
Upload an audio file.
Wait for transcription to complete.
Export or integrate the finished text.
Aisha STT is used for Uzbek, Russian and English transcription workflows.
Supported formats and limits are listed in the STT API documentation.
Yes. Diarization is available for supported workflows.