Alexa speech to text api pricingf12/31/2023 ![]() ![]() With its separate video, phone call, voice command, and default pre-built models, the Google Speech-to-Text API allows users to route their request to a model specifically training on that audio source. Google knows that not all Speech-to-Text ML models should be trained equally. Google’s AI-Powered Models are Increasingly Context Aware With this minimal effort, and at low relative cost, you’ll have a robust, accurate transcription much faster than a manual alternative. Businesses can pair these quick results with a human review for accuracy and editing of any words or phrases that need changing. With Google’s long audio file service, users can expect a turnaround time between 30 seconds and a few minutes (again, at a fraction of the cost of human transcriptions). For media companies, this turnaround time can result in a missed window of opportunity for relevance. While most human-powered transcriptions are returned with extremely high accuracy, longer transcriptions will require 12+ hours or even days. ![]() The low cost even permits companies that didn’t previously transcribe their video content to get the most value from them – a practice that can be combined with the Google Cloud Video Intelligence API to create more valuable content with existing assets. Though even Google’s Video premium rate comes in at half the price. In accuracy comparisons, Google’s Video Speech recognition output achieves similar error rate to Rev’s comparison ASR (Automated Speech Recognition), Temi. Google’s offering comes in at two price points – the outrageously cheap Speech Recognition at $.006 per 15 seconds, and the premium “Video” Speech Recognition (intended for higher quality audio with many speakers and crosstalk) at $.012 per 15 seconds. Google’s Speech-to-Text API Hits the Cost to Accuracy Sweetspot Let’s briefly explore the benefits to Google’s API. The going rate for human-provided transcription services falls around $1 per minute of audio, with turnaround times between an hour and a few days.īut what if you just completed an interview that is supposed to hit the press tomorrow morning? Or, what if you are processing hours of lecture material for your university’s online learning platform, and $1 per minute adds up fast? Regardless of your transcription workflow, your organization may be feeling pressure from one of these three main factors, and Google’s highly accurate, affordable Speech-to-Text API could be your solution. The billion dollar audio transcription industry, heavily relied upon by media and entertainment organizations, revolves around a cost, turnaround, and accuracy tradeoff that has seen major disruption with new AI-based services. Following its 2018 overhaul, Google Cloud’s Speech-to-Text API quickly became a flexible, cost-effective and business-friendly transcription option. ![]()
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