Speech Recognition Software

Industries
Business benefits
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Summary

Voice communication is the most natural form of communication for humans. Since technology has become an essential part of everyday life, it’s only natural that people want to operate it in the most convenient way - using voice commands.

Siri, Alexa, Cortana, and Google Assistant are the names of the four most popular voice assistants developed by the four major tech players. They started the revolution and introduced voice recognition to the public. And the market is still growing. It is expected that in the coming years most apps and websites will incorporate speech recognition.

And this is just the beginning. Voice recognition can be used to improve productivity. From dictating texts instead of typing them to transcribing calls into searchable documents.

It is the right time to think about voice tech software.

Don’t hesitate to take advantage of our expertise in voice recognition solutions. We are competent with IBM Watson, but we are also familiar with alternatives (Speechmatics, VoiceBase, AssemblyAI, Mutare, Whipnote, and Deepgram). You can rely on our know-how to choose the best solution for your project.

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But we are not just all about tech. We understand businesses need to make money. We know how to connect voice tech products with external payment service providers (like Stripe).

Our developers know how to manipulate audio input to get the best transcription quality. They know how to integrate speech-to-text solutions with other applications and platforms (e.g. Twilio, Hubspot) to achieve an unbeatable user experience. And on top of all this, we know how to manage vast amounts of data from audio recordings.

We know our way around voice recognition development. We know what to do and what to avoid in order to achieve the best results. We are ready to help you enter the voice era.

Our Speech Recognition Software Case Studies

JOG.AI

Speech Recognition Software

Jog.ai provides recordings and accurate transcriptions of phone and conference calls. The overall goal is to allow people to have meaningful conversations and not have their attention drawn away from the call by the need to take notes.

case study
JOG.AI