{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Tech Stories Tech Brief By HackerNoon","title":"Best Speech to Text APIs: 12 Leading Speech to Text APIs Compared","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/df95716d\"></iframe>","width":"100%","height":180,"duration":3182,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/best-speech-to-text-apis-12-leading-speech-to-text-apis-compared.\nSpeech-to-text APIs now process 500M+ hours of audio a month across enterprise apps, but a transcript alone isn't enough.\nCheck more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.\n            You can also check exclusive content about #speech-to-text-apis, #artificial-intelligence, #voice-intelligence, #speech-to-text-api-comparison, #modulate, #velma-transcribe, #speech-to-text, #good-company,  and more.\nThis story was written by: @modulate. Learn more about this writer by checking @modulate's about page,\n            and for more stories, please visit hackernoon.com.\nSpeech-to-text APIs now process 500M+ hours of audio a month across enterprise apps, but a transcript alone isn't enough for fraud detection, healthcare scribing, or call-center QA. Here's how 12 leading APIs compare on real-time speed, diarization, languages, and voice intelligence.\nThere are many speech to text APIs available, and they all have different capabilities for speech to text conversion. Only a few speech to text APIs can perform tone, intent, and behavioral analysis of the speech.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/IuqXIpaNNuezY7jNfIDnL5gqB1iL_SEndwUUzLGdljY/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxNDI5LzE2ODM1/ODM0NjQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}