Cloud Transcribe Medical – Medical Speech to Text as SaaS


Cloud Transcribe Medical allows you to accurately transcribes medical terminologies such as medicine names, procedures, and even conditions or diseases. Cloud Transcribe Medical can serve a diverse range of use cases, from transcribing physician-patient conversations that enhance clinical documentation, to capturing phone calls in pharmacovigilance, or even subtitling telemedicine consultations. Cloud Transcribe Medical service uses a deep learning process called automatic speech recognition (ASR), provided by Amazon Web Services. In addition you can leverage Speaker Identification feature that allows you to identify up to 7 speakers in the audio files.

Features of Cloud Transcribe Medical

  1. Deep Learning ASR Technology powered by Amazon Web Services
  2. AWS currently supports US English Language only
  3. Speaker Identification up to 7 people
  4. Multiple Audio Input Formats:
    • MP3
    • OGG
    • WAV
    • WEBM
    • MP4
    • FLAC
    • AMR
  5. Store & redistribute text
  6. Record & Upload Files
  7. Up to 4 hours of Audio File Length with AWS
  8. Up to 2 GB of Audio File Size with AWS
  9. Conveniently Share synthesize results or Download
  10. Full Affiliate/Referral system
  11. Fully Responsive Interface
  12. Create Monthly Subscription Plan easily
  13. Create Various Prepaid Plans easily
  14. Create Coupons/Promocodes for Prepaid Plans
  15. Various Included Payment Gateways:
    • Paypal (Online) (Subscription/Prepaid)
    • Stripe (Online) (Subscription/Prepaid)
    • Razorpay (Online) (Subscription/Prepaid)
    • Paystack (Online) (Subscription/Prepaid)
    • Mollie (Online) (Subscription/Prepaid)
    • Braintree (Online) (Prepaid)
    • Coinbase (Cryptocurrency) (Prepaid)
    • BankTransfer (Offline) (Subscription/Prepaid)
  16. Closely Monitor Monthly & Yearly Incomes
  17. Closely Monitor Estimated Spending for Cloud STT Services
  18. SaaS Platform
  19. Developed with PHP 7.4.x and Laravel 8.4.x
  20. Detailed and Comprehensive Documentation

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