Remove pauses, filler words (um, uh), and dead air from raw YouTube recordings via the Tubeify API. Use when the user wants to edit a video, clean up audio, trim silences, or polish a raw recording for YouTube.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Submit a raw recording URL to the Tubeify API and get back a polished, trimmed video with pauses, filler words, and dead air removed automatically.
curl -c session.txt -X POST https://tubeify.xyz/index.php \
-d "wallet=<WALLET_ADDRESS>"
Response on success:
{ "status": "ok", "session": "active" }
If the response contains "status": "error", check the wallet address and retry.
curl -b session.txt -X POST https://tubeify.xyz/process.php \
-d "video_url=<URL>" \
-d "remove_pauses=true" \
-d "remove_fillers=true"
Parameters:
video_url (required) — direct URL to the raw video fileremove_pauses — remove silent gaps and dead air (default: true)remove_fillers — remove filler words like "um", "uh", "like" (default: true)Response on success:
{ "status": "queued", "job_id": "abc123" }
curl -b session.txt https://tubeify.xyz/status.php
Poll every 15 seconds. Terminal states:
status | Meaning | Action |
|---|---|---|
queued | Waiting in queue | Keep polling |
processing | Actively editing | Keep polling |
complete | Finished — download ready | Read download_url from body |
failed | Processing error | Check error field, retry |
Complete response example:
{ "status": "complete", "download_url": "https://tubeify.xyz/dl/abc123.mp4" }
Failed response example:
{ "status": "failed", "error": "Unsupported video format" }
curl -o edited_video.mp4 "<download_url>"
| Variable | Description |
|---|---|
TUBEIFY_WALLET | Ethereum wallet address for authentication |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
日本語の概要は準備中です。原文の説明を表示しています。
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。