testimonial-edit

To automate turning customer testimonial videos into social clips, use an AI-assisted workflow that transcribes raw footage, identifies impactful moments, adds speaker intro cards, and renders outputs. This requires Deepgram for transcription and Remotion for rendering multi-format videos.

The best way to add captions to case study videos for LinkedIn and Instagram is using an automated workflow with Deepgram transcription. It generates branded overlays and captions while exporting directly into square, vertical, and landscape formats required by different platforms.

Yes, FFmpeg and Remotion are required to generate vertical video outputs from interviews. FFmpeg handles underlying media processing, while the Remotion rendering pipeline produces the square, vertical, and landscape multi-format outputs with consistent timing.

Yes, you can use AI to automatically select highlights from a long client success story video. The processing logic uses AI-assisted content selection to identify the most impactful moments from raw testimonial footage for concise social clip generation.

Yes, this testimonial editing workflow supports branded speaker intro cards. It automatically generates speaker intro cards containing the name, title, and company with branded overlays and captions during the Remotion rendering pipeline.