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 to check before launch
Evaluate results with your own material. Keep separate results for each language and recording or playback condition.
Try a representative sample
Transcribe a short recording. Compare names, numbers, negations and language switches against the audio.
Connect it to the product
Keep API credentials on your server. Check documented formats, limits and response states, and test a failed request before automating the process.
Review each language
Do not generalize one language result to the entire catalog. Ask someone familiar with the target accent and terminology to review the output.
How it works
1
Send a voice recording.
2
Aisha STT converts speech into text.
3
Connect the transcript to search or analytics.
Which workflow fits your use case?
STT language pages
API and developer paths
Use case pages
Related pages
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.