Polish an existing AI-generated short video with a focused realism retouch. This focused AI video retouch refines artificial lighting, synthetic materials, oversaturated color, and repeated or distracting detail in one selected pass, while carrying forward the shot's subject, camera framing, timing, and intended mood. Use it for AI video cleanup, video retouching, natural-looking video polish, product clips, ad creative, social video, and short-form footage that needs a cleaner, more believable finish.
设计与多媒体
Batchedits
试用Autonomously edit videos, add captions, and remove silences via BatchEdits.
它能做什么
Autonomously edit videos, add captions, and remove silences via BatchEdits.
技能文档
Turn your OpenClaw into an autonomous video editor using BatchEdits. Use when you need to add captions, remove silences, or apply custom styles to videos. Covers creating styles, uploading local videos, processing, and checking video status directly from WhatsApp, Telegram, or the CLI.
Setup
- Create an account at your BatchEdits instance.
- Choose one connection method.
Option A: Easiest — API key in URL
openclaw config set mcp.servers.batchedits '{"type": "sse", "url": "https://batchedits.com/api/mcp/PASTE_YOUR_API_KEY_HERE"}'
Option B: Header-based
export BATCHEDITS_API_KEY="PASTE_YOUR_API_KEY_HERE"
openclaw config set mcp.servers.batchedits '{"type": "sse", "url": "https://batchedits.com/api/mcp"}'
Option C: OAuth DCR (Dynamic Client Registration)
CLIENT_RESPONSE=$(curl -sS -X POST https://batchedits.com/api/oauth/register \
-H 'Content-Type: application/json' \
-d '{"client_name":"OpenClaw Local","redirect_uris":["http://localhost/callback"]}')
CLIENT_ID=$(echo "$CLIENT_RESPONSE" | jq -r '.client_id')
CLIENT_SECRET=$(echo "$CLIENT_RESPONSE" | jq -r '.client_secret')
AUTH_URL="https://batchedits.com/api/oauth/authorize?client_id=$CLIENT_ID&redirect_uri=http://localhost/callback&response_type=code"
echo "Open this URL and approve:"
echo "$AUTH_URL"
# After approval, copy the ?code=... value:
CODE="PASTE_CODE_HERE"
TOKEN_RESPONSE=$(curl -sS -X POST https://batchedits.com/api/oauth/token \
-H 'Content-Type: application/x-www-form-urlencoded' \
-d "grant_type=authorization_code&code=$CODE&client_id=$CLIENT_ID&client_secret=$CLIENT_SECRET&redirect_uri=http://localhost/callback")
ACCESS_TOKEN=$(echo "$TOKEN_RESPONSE" | jq -r '.access_token')
export BATCHEDITS_ACCESS_TOKEN="$ACCESS_TOKEN"
openclaw config set mcp.servers.batchedits '{"type": "sse", "url": "https://batchedits.com/api/mcp"}'
Tools
list_actionscreate_styleget_stylesupload_videosprocess_videolist_videosdownload_video
Recommended Workflow for Video Editing
- Identify the local video file provided by the user.
- Determine the requested edits.
- Connect using one of the setup options above.
- Check
get_stylesto see if a matching style already exists. If not, uselist_actionsandcreate_styleto make one. - Call
upload_videosto get the upload command. - Execute the upload command and extract the
videoId. - Call
process_videowithvideoIdandstyleId. - Call
list_videosto check when the video reachescompletedstatus. - Optionally call
download_videoto get the result.
Tips
- Always check
get_stylesfirst. Reusing existing styles is faster than creating a new one every time. - Uploading videos is handled via
curlbecause OpenClaw needs to stream large local binaries to the remote server efficiently. - You can queue multiple videos to the same style or apply different styles for bulk processing.
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