Whisper Notes

Amazon Transcribe makes it easy for developers to add speech to text capabilities to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy. Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, automate subtitling, and generate metadata for media assets to create a fully searchable archive.

MacWhisper is an all-in-one Mac transcription app for transcribing files, meetings, lectures, podcasts, videos, subtitles, voice memos, and private recordings. The app lets users drag and drop audio or video files, record online meetings, capture app audio, and use real-time dictation in any app. MacWhisper supports Zoom, Teams, Webex, Skype, Discord, and other meeting platforms without requiring bots to join calls. Its local AI models help users transcribe sensitive files offline so data does not have to leave the Mac. The platform includes speaker recognition, filler-word removal, translation, transcript search, editing, batch transcription, exports, summaries, chat, and custom AI prompts. Built for professionals, students, creators, researchers, journalists, and privacy-conscious users, MacWhisper helps turn speech and media into clean, searchable, editable text.