Envie seu podcast, entrevista, live ou palestra e receba clipes verticais prontos: os momentos que funcionam sozinhos, cortados em 9:16, com legendas palavra por palavra, enquadramento que acompanha quem fala, som nivelado, e título, frase de abertura e texto de publicação para cada um. Não precisa de transcrição. Envie o vídeo ou cole um link direto para o arquivo.
Envie o link de um vídeo longo ou um arquivo enviado. Ele analisa a fonte, decide sozinho qual trecho vale transformar em clipe, gera clipes curtos com legendas, revisa os resultados e entrega apenas os aprovados, cada um com um título recomendado, um gancho de abertura e hashtags.
Upload a long podcast, lecture or interview and get up to 5 vertical 1080x1920 shorts back in the chat. ShortLoom picks segments by loudness, speech and motion, trims pauses, reframes to 9:16 by following faces, and burns in word-timed captions. Or name the moments yourself, like "3:10 to 3:50". Runs in the Capafy cloud, nothing to install. Measured: a 9:40 video became 5 captioned shorts in 62 s on 2 CPUs. It does not judge jokes or story beats. The weekly plan starts with a free trial period.
Upload your finished Short, Reel, or TikTok. Get timestamped checks and fixes for captions, on-screen text, and visual mistakes before you publish.
Turn any idea into a high-retention TikTok, Reel or YouTube Short with a strong hook, fast-paced action, natural dialogue and a memorable ending.”
Paste a YouTube link to a video that has captions and get a TL;DR, key points, timestamped chapters, quotes, a 5-question Q&A and action items, all written from the caption transcript. Needs your own OpenRouter API key.
Check your .srt or .vtt captions before you post. An offline script finds exact cues with reading speed, line length, overlaps, timing errors, broken characters and script mismatches, fixes the mechanical problems without changing a word, and re-checks. It cannot hear audio or test platform acceptance. Download package: bring your own AI agent and Python 3.
Removes burned-in captions and subtitles from short videos (MP4, MOV, WebM) and returns a cleaned MP4 with the original audio.
Feeds it raw footage (talking-head clips or silent B-roll) and renders a finished short-form video: punch-in zoom that changes rhythm on every cut, animated captions with numbers and keywords auto-highlighted, a rotating pool of transitions, synthesized whoosh sound effects, and music that auto-ducks under speech. Works with or without subtitles - silent B-roll still cuts on a fixed rhythm instead of sitting static. One Python script, one dependency (ffmpeg), runs fully on your own machine.