# Cecil-IA Labs FFmpeg (ChatGPT Plugin)

> FFmpeg Toolkit for Agents

- Type: plugin
- Publisher: Cecil-IA Labs (official)
- Categories: Development, AI & ML
- Website: https://chatgpt.com/plugins/plugins_6ab29d7144e88191985ee28372ab8058
- Open in ChatGPT: https://chatgpt.com/plugins/plugins_6ab29d7144e88191985ee28372ab8058
- Version: 2.0.0
- Listed: 2026-10-15

## About

Professional, deterministic FFmpeg and FFprobe workflows for ChatGPT and Codex. Inspect media, edit video and audio, convert formats, compose clips and slideshows, diagnose and repair media, plan streaming workflows, and author reusable YAML pipelines. The included Skills prefer the typed @cecilialabs/ffmpeg toolkit when executable tooling is available, with FFprobe preflight, explicit overwrite protection, transactional outputs, structured errors, and optional hardware acceleration. Executable workflows require Node.js 22+ and FFmpeg/FFprobe 6.1+; environments without command execution can still use the plugin to plan commands and author deterministic pipelines.

## Install

1. **Add it in ChatGPT** Open Plugins in the ChatGPT sidebar (web or desktop), search for “Cecil-IA Labs FFmpeg” and select +. You'll be asked to sign in to any connected service on first use. Then type @ in a chat to call it.

## Skills

- **ffmpeg-audio**: Attach, generate, detect, remove, and transcode audio with FFmpeg, including silence workflows and telephony formats such as G.711 μ-law, G.711 A-law, GSM, and PCM. Use when audio is the primary media concern.
- **ffmpeg-composition**: Compose multiple media inputs with concatenation, xfade transitions, audio crossfades, normalization, and image slideshows. Use when two or more visual sources must become one timeline.
- **ffmpeg-conversion**: Convert individual media files or directory batches using typed FFmpeg profiles, deterministic output planning, filtering, concurrency, and structured reports. Use when the primary goal is format/container/image-animation conversion.
- **ffmpeg-diagnostics**: Diagnose FFmpeg media failures and apply observation-driven timestamp or normalization repairs. Use for corrupt packets, decode errors, malformed timestamps, CFR/VFR issues, timebase mismatches, stream mapping failures, filter graph errors, freezes, and compatibility problems.
- **ffmpeg-environment**: Inspect, validate, and troubleshoot FFmpeg/FFprobe installations, versions, codecs, filters, hardware backends, and media metadata. Use before media work when runtime capabilities are unknown, when a command depends on a codec/filter/accelerator, or when diagnosing environment-specific failures.
- **FFmpeg Onboarding**: Inspect and prepare FFmpeg execution
- **ffmpeg-pipelines**: Design, validate, and execute deterministic Cecil-IA Labs FFmpeg Media Toolkit YAML pipelines and reusable presets across multiple media operations.
- **ffmpeg-streaming**: Capture cameras or stream media files through FFmpeg using typed source, encoding, container, transport, and destination settings. Use for HTTP, RTMP, RTSP, SRT, UDP, or TCP streaming and for camera capture planning.
- **ffmpeg-video-editing**: Perform deterministic video trimming, speed changes, still-image video creation, resizing, restoration, and normalization with FFmpeg. Use for temporal edits and single-video transformations that do not primarily require multi-source composition.
- **FFmpeg Workflow**: Route and validate media workflows

## Example prompts

- "Inspect this media file and explain its streams, codecs, timing, and compatibility."
- "Trim this video, resize it to 1920x1080, and convert the result to H.264 MP4."
- "Create a reusable YAML pipeline that trims, speeds up, normalizes, and converts a video."

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Source: https://chatgptplugins.directory/plugins/cecil-ia-labs-ffmpeg · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI.