# Media operations: agent guidance media-use resolves and remembers assets. For **operating** on them: cutting, reframing, stitching, transforming, it does not wrap every action as a bespoke command. Instead it points you at the right local tool (decision OP1). Run the tool, then register the output with `resolve --from --type ` so the result lands in the ledger and the global cache like any other asset. All tools below are local and free. ffmpeg is assumed present (it backs the engine already). ## Cut / trim: keep a slice ```bash ffmpeg -i in.mp4 -ss 00:00:12 -to 00:00:20 -c copy out.mp4 # 0:12–0:20, no re-encode ``` In-composition trimming usually needs **no new file**: a clip plays a sub-window via `data-media-start` + `data-duration` (see hyperframes-core). Only cut a physical file when exporting/assembling outside the composition. ## Reframe / crop: change aspect ratio ```bash # 16:9 -> 9:16, crop centered ffmpeg -i in.mp4 -vf "crop=ih*9/16:ih,scale=1080:1920" out.mp4 ``` For a non-destructive crop, set a `clip-path` on the element in the composition itself (render-time, source file untouched) instead of re-encoding with ffmpeg. ## Montage / stitch: join clips ```bash printf "file '%s'\n" a.mp4 b.mp4 c.mp4 > list.txt ffmpeg -f concat -safe 0 -i list.txt -c copy out.mp4 ``` ## Silence-cut / highlight: trim dead air, grab the best moment ```bash auto-editor in.mp4 --edit audio:threshold=4% -o tight.mp4 # pip install auto-editor scenedetect -i in.mp4 detect-adaptive list-scenes # pip install scenedetect ``` ## Transforms with a quality choice (process) These have a local option AND a higher-quality HeyGen-CLI option. Run the local one for free/offline; use the HeyGen CLI when quality matters. Showing the user a **side-by-side** (local vs HeyGen) is the honest way to let them choose. | Op | Local (free) | HeyGen CLI (quality) | | ------------------ | -------------------------------------------------- | --------------------------- | | Background removal | `hyperframes remove-background in.png` (u2net) | `heygen background-removal` | | Upscale | `realesrgan-ncnn-vulkan -i in.png -o out.png -s 4` | n/a | | Lipsync (dub) | n/a | `heygen lipsync` | | Translate | n/a | `heygen video-translate` | After any op: `resolve --from out.ext --type ` to register the derived asset (it records provenance and auto-promotes to the global cache). > ponytail: media-use doesn't re-wrap ffmpeg/heygen here, that's deliberate > (OP1). The value it adds is the ledger + global reuse on the _output_, via > `--from`. Add a thin `process` verb only if agents repeatedly fumble these > recipes. ## Transcription (default: Parakeet, better than whisper.cpp) `transcribe.mjs` is the default local transcription path. It runs **NVIDIA Parakeet-TDT via parakeet-mlx**, which beats whisper.cpp on the Open ASR Leaderboard (avg WER ~6.05% vs 7.44%; on NOISY audio 4.73% vs 5.96%, where whisper-large-v3 hallucinated to 308% WER on meetings) and is 5-10x faster. It emits `{ text, words:[{text,start,end}] }` with word timestamps (merged from Parakeet's sub-word tokens), feeding transcript-cut, captions, and the audio engine directly. ```bash # install once: uv venv ~/.venvs/parakeet && VIRTUAL_ENV=~/.venvs/parakeet uv pip install parakeet-mlx node /scripts/transcribe.mjs --input talk.mp4 --out talk.transcribe.json # equivalently, the hyperframes CLI has Parakeet built in (auto-detects it, whisper fallback): npx hyperframes transcribe talk.mp4 --engine parakeet # or --engine auto (default) ``` VERIFIED on 24GB: accurate, ~3s (cached) for 8s audio. Parakeet covers English + 25 European languages. For other languages, or when parakeet-mlx is not installed, transcribe.mjs auto-falls-back to whisper.cpp (99 languages) via `hyperframes transcribe`. `--engine parakeet|whisper` forces one. (Cohere Transcribe tops the leaderboard on paper but its mlx-audio quants produced garbage and ran 40-70x slower on a Mac in testing, so it is not wired in.) ## Text-based editing (transcript cut) `transcript-cut.mjs` is a compiler, not a wrapper: it turns word timestamps and agent cut decisions into exact kept segments. It is provided even though the rest of this file is guidance-only. ```bash node /scripts/transcript-cut.mjs \ --input talk.mp4 \ --transcript talk.transcribe.json \ --remove "12.41-15.02,88.3-91.7" \ --remove-fillers "um,uh,like" \ --cut-silence 0.8 \ --out talk.cut.mp4 resolve --from talk.cut.mp4 --type video ``` Use `--plan` first when you want to inspect the kept segment JSON before encoding. ## Ducking (declare in-composition / bake for export) B1, declare ducking in the composition. `audio-duck.mjs` emits GSAP volume keyframes. Paste them into the composition timeline, the source file stays untouched. ```bash node /scripts/audio-duck.mjs \ --meta audio_meta.json \ --target "#bgm" \ --composition index.html ``` ```js // auto-duck: #bgm under narration (generated; base volume 0.6) tl.to("#bgm", { volume: 0.15, duration: 0.15 }, 3.42); tl.to("#bgm", { volume: 0.6, duration: 0.4 }, 9.87); ``` B2, bake ducking only for exported or standalone files. ```bash ffmpeg -i bgm.mp3 -i voice.wav \ -filter_complex "[0][1]sidechaincompress=threshold=0.03:ratio=8:attack=200:release=400[ducked]" \ -map "[ducked]" bgm.ducked.wav ``` Declare inside compositions. Bake only for assets leaving the hyperframes pipeline. ## Publish loudness Two-pass `loudnorm` measures first, then applies the measured values with the target LUFS baked in. Socials target, -14 LUFS: ```bash ffmpeg -i mix.wav \ -af loudnorm=I=-14:TP=-1.5:LRA=11:print_format=json \ -f null - ffmpeg -i mix.wav \ -af loudnorm=I=-14:TP=-1.5:LRA=11:measured_I=:measured_TP=:measured_LRA=:measured_thresh=:offset=:linear=true:print_format=summary \ mix.social.wav ``` Podcast target, -16 LUFS: ```bash ffmpeg -i mix.wav \ -af loudnorm=I=-16:TP=-1.5:LRA=11:print_format=json \ -f null - ffmpeg -i mix.wav \ -af loudnorm=I=-16:TP=-1.5:LRA=11:measured_I=:measured_TP=:measured_LRA=:measured_thresh=:offset=:linear=true:print_format=summary \ mix.podcast.wav ``` ## Generate: images (local first, cloud upsell) `resolve --type image` retrieves from the HeyGen catalog first; on a miss it GENERATES. Two paths, best-for-the-machine picked automatically: 1. **Local (default, free, private): mflux** (FLUX-on-MLX). `resolve` spec-checks AVAILABLE RAM and runs the best FLUX-class model that fits, via `scripts/lib/local-models.mjs` (`imagegen` ladder) + `mflux-provider.mjs`. The RAM ladder (agent sees it via `describeModelLadder("imagegen", specs)`): | Tier | Model | Needs (available RAM) | Notes | | ------ | -------------------- | --------------------- | ----------------------------------- | | medium | FLUX.1 schnell int4 | ~8GB (`--low-ram`) | ~20s/512px on 24GB. VERIFIED. Fast. | | large | FLUX.2 Klein 4B int4 | ~32GB | higher quality, full-resident | | xlarge | Qwen-Image | ~64GB | top quality, 64GB+ Macs only | Gotchas baked into the table: the official FLUX repos are HF-gated, so it points at non-gated community 4-bit re-uploads; and `--low-ram` is MANDATORY at the medium tier (without it a 768x512 run swap-thrashed to 90 minutes on 24GB; with it, 20 seconds). 2. **Cloud upsell (better quality): the `codex` CLI** `image_gen` tool, on the user's ChatGPT subscription (codex owns auth, no key here, no per-call charge). It is the automatic fallback when no local model fits AND the explicit "make it better" choice on any machine. Users who just want codex can ask for it directly. Verified: prompt -> raster -> frozen + ledgered. `--local-only` keeps mflux (once cached) and skips codex (network). ## Generate: video (local first, HeyGen avatar upsell) Operate-on-video ships now; GENERATING video is local-first with a HeyGen avatar upsell (decision X3). - **Local (default): LTX 2.3 on MLX** via `dgrauet/ltx-2-mlx`, the `videogen` ladder in `local-models.mjs`. Generative clips (t2v / i2v), spec-gated to RAM. Verified on 24GB: 512x320 x 33f with audio. - **HeyGen avatar upsell (better, script-driven): the `heygen` CLI**, NOT the raw API. For a talking-head / avatar video, `heygen video create` (avatar engine IV by default) beats a generative clip when you want a real presenter. Browser OAuth uses the web-plan/free avatar-video allowance where eligible; API keys follow the normal API billing path: ```bash # discover an avatar + a starfish voice, then create + wait heygen avatar list --ownership public --limit 5 heygen voice list --engine starfish --limit 5 heygen video create --wait -d '{ "type": "avatar", "avatar_id": "", "script": "Your narration here.", "voice_id": "" }' ``` Avatar videos are deterministic + script-driven (lip-sync from a script or a pre-recorded `audio_url`), distinct from the generative LTX clips. After it renders, `resolve --from --type video` to ledger it.