"author:anshumanofficial2002-cpu" matching MCP servers:

Enables vision-capable AI assistants to inspect local videos by returning frames as images, sampling clips, generating contact sheets, detecting scene cuts, auto-picking platform-sized thumbnails, and exporting GIF, MP4, or WebP previews.

Enables an AI assistant to inspect, convert (SRT/VTT/ASS/JSON), shift, retime, clean, lint and reflow caption files, and to build reel-style or standard captions from Whisper-style word timestamps. It also clips captions to a time range, searches spoken text, and extracts clean transcripts, all without ffmpeg, API keys or network access.

Enables an AI assistant to inspect local video files, grade them against Instagram, TikTok, YouTube, X and LinkedIn upload specs with concrete fixes, and re-encode them into upload-ready versions via ffmpeg. Also supports comparing multiple files, scanning whole folders for footage logs, and stripping sensitive metadata — all locally without uploading footage.

Enables users to measure LUFS, true peak, LRA, silence, and clipping; compare audio against platform and broadcast targets; and normalize audio files or video audio tracks locally.

Enables users to estimate spoken read time for short-form video scripts, fit them to target durations, score hooks, check pacing, trim fillers, and export teleprompter text, timed beat sheets, and draft SRT captions.