Vídeo longo → vários clipes com legendas, em um único comando

Transforme qualquer vídeo longo em N clipes menores com legendas. Transcreva uma vez, deixe a IA escolher os melhores momentos e corte e legende cada clipe em paralelo. Se quiser, adapte o resultado para o formato vertical (9:16) do TikTok, Reels e Shorts, o quadrado (1:1) do Instagram ou o retrato (4:5); a posição das legendas se ajusta automaticamente.

Receitas

Executar

  • Vídeo
  • 6 pipelines
  • ≥ 11.6 créditos

Agente de IA

terminal

Novo por aqui? Início rápido
01
Homebrew brew install pipe2-ai/tap/pipe2
↳
Go go install github.com/pipe2-ai/pipe2-cli/cmd/pipe2@latest
02
Obter um token de API ↗ echo "$PAT" | pipe2 auth login --token -

Clipes 5 de um episódio

Alterar o resultado

--inputobrigatório
asset_urlpredefinição—Source video: a YouTube or social URL, a direct media URL, a local file, or an existing pipe2 asset. Remote and local sources are uploaded automatically; use --asset <id> or --no-fetch when the asset is already available.
--reformat
enumpredefiniçãoOptional output aspect ratio. Leave empty to preserve the source's native aspect (default: fastest, cheapest). Set to 9:16 for TikTok/Reels/Shorts, 1:1 or 4:5 for Instagram, 16:9 for horizontal YouTube cards from a vertical source.
· 9:16 · 1:1 +2
9:161:14:516:9
--highlights-count
intpredefinição5How many moments to pick when highlights runs (auto mode). Ignored if --clips is set.
--highlights-style
stringpredefiniçãoNatural-language steer for the highlights picker: e.g. "the funniest moments", "the strongest arguments". Empty uses the picker's default.
--clips
stringpredefiniçãoOptional path to a JSON file overriding the auto-picker, shaped [{"context": "...", "start_sec": 42.5, "end_sec": 78.0}, ...]. When set, the highlights step is skipped. Leave empty to let the highlights pipeline pick automatically.
--corrections
stringpredefiniçãoComma-separated word-boundary substitutions applied to the transcript, in the form "from=to,from=to". Use it when the recognizer mis-hears the same word the same way every time (a name, an acronym, a domain term). To preserve a phrase that contains a substring you also want to rewrite, declare the longer phrase first as a no-op ("phrase=phrase,word=replacement"): longer matches win, so the phrase is shielded before the bare-word rule fires. Case-sensitive.
--lang
stringpredefiniçãoenISO 639-1 transcription language, or 'auto'.
--no-watermark
boolpredefiniçãofalseShip the output unbranded. Skips the watermark step entirely.
--parallel
intpredefinição4Max number of clips to process in parallel.
--position
enumpredefiniçãoautoVertical caption position. "auto" (default) keeps text away from the main subject when possible and otherwise places it at the bottom. Set a position explicitly to override.
auto · top · middle +1
autotopmiddlebottom
--preset
enumpredefiniçãoserif-editorialCaption styling preset for every clip.
tiktok-bold-yellow · minimal-white · subtle-drop +3
tiktok-bold-yellowminimal-whitesubtle-dropkaraoke-gradientbig-serifserif-editorial
--watermark-scale
intpredefinição20Watermark width as a percentage of the video width.
--watermark-url
asset_urlpredefiniçãoOverride the default Pipe2 logo with your own image (URL or local path). Empty means use the bundled Pipe2 watermark.
--watermark-variant
enumpredefiniçãolightWhich bundled Pipe2 logo to use when --watermark-url is empty. "light" for dark videos, "dark" for bright ones; coloured variants match the clip palette.
amber · aqua · crimson +4
amberaquacrimsondarkemeraldindigolight
Como funciona 6 pipelines
  1. transcription

    Transcreve todo o vídeo uma vez e reutiliza a mesma transcrição em cada clipe selecionado.

    Fonte de entrada: OpenClaw Creator, Why 80% of Apps Will Disappear
    Texto 
    00:00:00,180  Today, I'm sitting down with Peter Steinberger, the creator of OpenClaw, the open source personal AI agent that has completely taken over the internet.
00:00:09,060  The GitHub repo exploded to over 160,000 stars practically overnight.
00:00:14,130  The community has built countless projects, like Malt Book, where bots talk among themselves.
00:00:19,560  And now, the bots are even renting humans to do tasks in the real world.
00:00:24,220  In our conversation, we discuss his aha moment, his contrarian development philosophies, and what this means for builders in 2026.
00:00:32,740  Let's dive in.
00:00:38,980  So good to see you, man.
00:00:39,960  Hey, what's up?
00:00:40,760  Um, so you've made something people want.
…
  2. highlights

    Lê a transcrição e escolhe N momentos relevantes. Se --clips fornecer uma lista JSON preparada manualmente, a seleção automática é ignorada.

    JSON 
    [{"context":"Peter explains OpenClaw's core differentiator: local execution gives it access to everything the user can do, unlike cloud-based AI.","desired_seconds":32,"start_sec":95.24000000000001,"end_sec":127.64},{"context":"The vivid moment Peter realized OpenClaw's creative problem-solving: it autonomously transcribed a voice message using ffmpeg and OpenAI's API without being explicitly programmed to do so.","desired_seconds":106,"start_sec":515.182,"end_sec":621.252},{"context":"Peter's contrarian prediction: 80% of apps disappear because personal AI agents manage data and tasks more naturally than purpose-built applications.","desired_seconds":55,"start_sec":641.792,"end_sec":696.312},{"context":"Peter's philosophy on building: minimize friction by using Unix tools and CLIs instead of inventing new abstractions, letting the model handle creative problem-solving.","desired_seconds":54,"start_sec":1178.264,"end_sec":1232.584},{"context":"Peter articulates why swarm intelligence mirrors human society: individuals alone can't build iPhones or go to space, but groups specializing together achieve anything.","desired_seconds":46,"start_sec":258,"end_sec":303.5}]
  3. video-trim

    Corta cada trecho selecionado nos limites das frases e devolve uma transcrição correspondente, pronta para as legendas.

    Vídeo
  4. video-reframe somente se --reformat

    Quando --reformat está definido, adapta cada clipe à proporção solicitada, mantém o locutor ativo visível e muda o enquadramento de forma limpa nos cortes entre planos. Caso contrário, preserva a proporção original.

    Vídeo
  5. captions

    Adiciona a transcrição correspondente a cada clipe, usando o estilo e a posição de legenda escolhidos.

    Vídeo
  6. watermark

    Sobrepõe o logotipo do Pipe2 ou a imagem indicada em --watermark-url no canto superior esquerdo. Use --no-watermark para gerar os clipes sem marca-d'água.

    Vídeo