![]() Call center and customer support services.Here are some use cases where a streaming API could be a valuable asset: And for many of these businesses, an AI-powered speech recognition API is the most affordable and efficient choice. Many businesses where the spoken word is central to service can benefit from speech-to-voice tech. This simplifies your transcription workflow as you don’t need to organize or pay for extra services. Rev has trained our API on major English accents from around the world. Try the Rev AI Speech Recognition API Free Of course, your transcribed speech remains available afterward as a searchable archive. A real-time speech-to-text API delivers instant captioning and transcription to guarantee that everyone is included. ![]() Making live videos, conferences, and webinars accessible is ethical. Developers utilize the power of a purpose-built speech engine by integrating it into their companies’ platforms and services. Live streaming speech recognition is a great asset for individuals and businesses. Why Use a Live Streaming Speech Recognition API? Not all speech engines can label different speakers in a room, but Rev does that, too.Īnother advantage of Rev’s API is that you can boost accuracy by sharing unusual names and terminology before using it. (You can check our results and methodology here ). Rev performed Word Error Rate (WER) tests on our own automated transcript service, the Google Cloud speech API, and those of Amazon and Microsoft. The result? A live streaming speech recognition API that outperforms tech’s biggest names. Our developers carefully collected and edited it rather than simply harvesting masses of audio, as in the case of Siri and Alexa. We trained the Rev AI with ten years of human-sourced data. Rev works around the clock with a team of 50,000 human professionals to transcribe and caption the spoken word. But Rev’s machine learning is founded on manual training. The big tech companies use statistical analysis to train their models. But if speed and cost at scale are priorities, the best AI now delivers excellent results. ![]() Human transcription is still preferable where near-perfect accuracy is essential. (On high-quality audio with native English speakers, Rev AI’s results are in the low-mid 90s ). But speech-to-text AI can achieve accuracy of 85% and higher. ![]() Try the Rev AI Speech Recognition API Free How Accurate is It?ĪI transcription is not yet as accurate as a professional human service, which may achieve 99% accuracy or more. Rev’s API comes with software development kits, full documentation, and expert support. And the streaming API uses RTMP ( Real-Time Messaging Protocol ). The asynchronous API uses REST (Representational State Transfer).
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