![]() The system then automatically assembles the relevant parts of the video and off you go. AI-generated transcripts can be used to create the rough cut by simply dragging and dropping the relevant snippets of text. To simplify this tedious process, Simon Says Assemble has a solution for you. Once that’s received via email, start over. Simon Says Assembleīut then what? Export the rough cut, send it to clients and other key crew members to gather feedback. ![]() The next step is to translate those sentences back into timecode ins and outs to track down the corresponding video snippets and put them into a timeline. You look for key sentences in the written document, glue them together, and build a story that way. It seems that Simon Says can now deliver these near-perfect transcripts in multiple languages, so they figured it might be a good time to take the next step: What exactly do filmmakers do once the triscript is ready? Well, most likely they build what’s called a paper edit. Only when the transcription is accurate can it be usable. As Simon Say’s CEO Shamir Allibhai puts it: If it’s not good, you’ll spend more time fixing it than it will help you improve your workflow. But it has to be near perfect to make sense. Simon Says – AI-based transcriptionĪutomatically transcribing a given video interview is a long-standing dream of many filmmakers. Just drag’n’drop a few pieces of text and start creating a timeline for the NLE of your choice. Their most recent offering, Simon Says Assemble ( we reported about it here before), even lets you create a video rough cut of your story based on these automatically generated transcripts. We had the opportunity to speak with Shamir Allibhai, CEO of Simon Says, to learn more about the underlying technology and the company’s latest offering: Simon Says Assemble. Simon Says is an AI-driven transcription platform that makes it very easy to transcribe all your interviews and other sound bites effortlessly. keyboard_arrow_rightCameras of the Year. ![]()
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