Business Insights · August 29, 2023 · Serhiy Sokorenko · 2,140 views

Find the Best Speech Recognition Service: Comprehensive Comparison

Find the Best Speech Recognition Service: Comprehensive Comparison

This article is a practical speech recognition services comparison of those four — laying out what each one does well, where each falls short, and what it costs, so you can pick the right fit for your specific application rather than guessing.

This article aims to provide a concise yet comprehensive comparison of these services, presenting their unique abilities, advantages, and drawbacks. Our ultimate goal is to help you identify the most suitable and user-friendly speech recognition service for your specific application. To facilitate your research process, we have included a well-structured table with key features, and we have thoughtfully embedded numerous links to the respective documentation, saving you valuable time.

Main characteristics of transcribing services

 

Whisper model by OpenAI

Transcribe by Google 

Speech-to-Text by Microsoft Azure

AWS Transcribe by Amazon

UI/API interface

Yes/Yes

Yes/Yes

Yes/Yes

Yes/Yes

Input data:

Supported file formats

MP3, MP4, MPEG, MPGA, M4A, WAV, WebM

MP3

MP3, WAV, OGG

MP3, MP4, WAV, FLAC, AMR, OGG, WebM

File size limits

25 MB (currently)

Details.

 

1 GB 

Details.

14.400 seconds

Details.

File location for transcribing

Local upload

Cloud Storage

Local upload

Cloud Storage

Cloud Storage (S3 bucket URI)

Supported languages

About 98 languages (about 58 of them that exceeded 50% word error rate)

More details.

About 145 languages

More details.

About 141 languages

More details.

About 39 languages

More details.

Automatic language identification

Yes

Yes 

(alternative languages)

Yes

Yes

Various models/presets (medicine, telephone calls etc)

Yes

Yes

Yes

Yes

Output data:

Subtitle file format

   

SRT (SubRip)

VTT (WebVTT)

Post-processing with AI

Yes (with GPT-4)

   

Trial mode

No

60 minutes per month

5 audio hours free per month (per second billing)

60 minutes per month for 12 months

More detail about AWS Free Tier

Pricing

$0.006 / minute

(rounded to the nearest second)

fixed price for all

More information

$0.00225 / minute

(rounded to the nearest second)

More information

$0.017  / minute

($1 per audio hour; per second billing)

More information

$0.00780 / minute

(Usage is billed in one-second increments, with a minimum per request charge for 15 seconds)

More information

Main pricing factors

(what options, which you are using, influence for end costs)

  • The lengths of the audio.
  • Whether you have opted in to data logging.
  • The number of channels in the audio being recognized.
  • The length and amount of audio you send.
  • The recognition model
  • The batch method
  • The API version
  • The lengths of the audio
  • Region
  • Language identification
  • Diarization
  • Speaker Verification
  • Speaker Identification
  • Volume (minutes/month)
  • Region
  • Automatic Content Redaction
  • Toxicity Detection
  • The recognition model

 

Conclusion

So, as you can see, modern speech recognition services, with the help of artificial intelligence, provide wide opportunities and functionality, and are constantly developing, especially recently. In this article, we have looked at 4 of the leading ones and delved into their details and features.

On the one hand, it looks very simple, and you can pick any one and work with it. But, on the other hand, a detailed analysis of the capabilities of the chosen service before starting work is simply necessary. This ensures that in the future, your product or application can fully develop and scale, and tariffs and integration with other services are not significant obstacles on this path. If you need a more complex solution for integrating with your existing or future applications using any speech recognition services, feel free to contact us for detailed information and services.

Serhiy Sokorenko
Written by Serhiy Sokorenko QA Engineer

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