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Verbit Case Studies

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  • Reference Rating
    4.7 / 5.0
    Customer References15 total
    About

    Amazon Transcribe makes it easy for developers to add speech to text capabilities to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy.

  • Reference Rating
    4.7 / 5.0
    Customer References47 total
    About

    Deepgram is legacy speech recognition tech is slow, inaccurate, and expensive. It’s time to stop settling for out-of-the-box solutions that don’t meet enterprise needs. Deepgram is the only true end-to-end Deep Learning ASR offering real-time transcription, built to scale. Use it alone or on top of your existing tech and see results in weeks, not months or longer. It's do all with lower hardware and usage costs so they were a hell of a lot more scalable than big tech players.

  • Reference Rating
    4.7 / 5.0
    Customer References9 total
    About

    Scribie.com is a audio/video transcription service where you can get high quality transcripts of your interviews, meetings, podcasts, videos, webinars, etc. At Scribie, they have re-thought and re-invented the transcription process for the internet age and have built a system which produces high quality transcripts with the least amount of effort. They follow a four step process where the initial work is done by their certified freelancers which is then QA'ed by their in house team. Due to their comprehensive process they can guarantee a minimum accuracy level of 98% for the transcripts.

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