{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Good Tech Companies ","title":"RTF in Speech AI Isn't Enough: Your 2026 Guide For Evaluating Batch Transcription","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/8a9affb7\"></iframe>","width":"100%","height":180,"duration":560,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/rtf-in-speech-ai-isnt-enough-your-2026-guide-for-evaluating-batch-transcription.\nRTF tells you how fast the model runs. It doesn't tell you how long users actually wait. This guide covers the four batch transcription you need to know.\nCheck more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #speech-recognition, #ai-voice-agent, #voice-assistant, #voice, #real-time-speech-ai, #speech-to-text-ai, #ai-text-to-speech-tools, #good-company,  and more.\nThis story was written by: @speechmatics. Learn more about this writer by checking @speechmatics's about page,\n            and for more stories, please visit hackernoon.com.\nRTF is the metric everyone quotes. It's also the one your users never experience. Here's what actually determines batch transcription performance in production... and what to measure instead.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/HZ9CRzf5js9DK86xzUVMWBRbXYwg4dA8xVXJGVzpL6Y/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMTNl/MjgwMmI0ZmEzNThj/YmJiOWNiN2UyZmRm/MzY3My5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}