From d95d2f3a3a8ac2d0989c94395e352d15891ec950 Mon Sep 17 00:00:00 2001 From: Rishikanth Chandrasekaran Date: Wed, 17 Dec 2025 10:16:34 -0800 Subject: [PATCH] Revise machine learning models in README Updated the description of machine learning models used in Scriberr. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f0cafc4d..0fdbf2c5 100644 --- a/README.md +++ b/README.md @@ -31,7 +31,7 @@ Recall.ai diarizes by pulling the speaker data and seperate audio streams from t ## Introduction At its core, Scriberr allows you to transcribe audio and video locally on your machine, ensuring no data is ever sent to a third-party cloud provider. -Leveraging state-of-the-art machine learning models (such as **Whisper**, **NVIDIA Parakeet**, and **Canary**), it delivers high-accuracy text with word-level timing. +Leveraging state-of-the-art machine learning models (such as **NVIDIA Parakeet**, and **Canary**) or the older more popular **Whisper** models, it delivers high-accuracy text with word-level timing. Scriberr goes beyond simple transcription and provides various advanced capabilities. It combines powerful under-the-hood AI with a polished, fluid user interface that makes managing your recordings feel effortless. Whether you are sorting through voice notes or analyzing long meetings, Scriberr provides a beautiful environment to get work done: