Watermark

Recipes using this pipeline

• Long video → multiple captioned clips, in one command

  Slice any long video into N captioned shorter clips. Transcribe once, auto-pick the moments with AI, trim + caption each in parallel. Optionally reformat to vertical (9:16) for TikTok / Reels / Shorts, square (1:1) for Instagram, or portrait (4:5); the caption anchor auto-adjusts.

  6 pipelines · CLI

• One prompt → a vertical AI dance reel

  Generate a labeled dance-move grid with GPT Image 2, hand it to Seedance 2 Pro as a reference so the choreography actually follows the moves, then stitch it into a music-synced vertical reel.

  6 pipelines · CLI

Articles about this pipeline

• How to Add a Watermark to a Video with a Logo

• How to Make AI Videos: From Prompt to Finished Video

Watermark API

Call this pipeline from your own code. One request dispatches a run; the model is an input field, not a separate endpoint.

import { createClient } from "@pipe2-ai/sdk";

const client = createClient(process.env.PIPE2_TOKEN!);

const { run_pipeline } = await client.RunPipeline({
  pipeline_slug: "watermark",
  input: {
    source_video_url: "https://example.com/clip.mp4",
    watermark_url: "https://example.com/logo.png",
  },
});

import asyncio
import os

from pipe2 import Pipe2Client

client = Pipe2Client(token=os.environ["PIPE2_TOKEN"])

run = asyncio.run(client.run_pipeline(
    pipeline_slug="watermark",
    input={
        "source_video_url": "https://example.com/clip.mp4",
        "watermark_url": "https://example.com/logo.png",
    },
))

client := pipe2.NewClient(os.Getenv("PIPE2_TOKEN"))

input := json.RawMessage(`{
  "source_video_url": "https://example.com/clip.mp4",
  "watermark_url": "https://example.com/logo.png"
}`)

run, err := pipe2.RunPipeline(context.Background(), client, "watermark", input)
if err != nil {
    log.Fatal(err)
}

pipe2 pipelines run \
  --pipeline watermark \
  --input-json '{"source_video_url": "https://example.com/clip.mp4", "watermark_url": "https://example.com/logo.png"}' \
  --wait

Get an API token →

Parameters

source_video_url required

Public URL of the video to watermark.

string

watermark_url required

PNG, SVG, or JPEG, PNG or SVG with transparency reads cleanest on any background

string

margin_pct

Inset from the chosen corner, as a percent of the video width

integer default 4

Use it from an AI agent

Point any MCP client at pipe2 and your agent gets these tools. It finds this pipeline, reads the same schema above, then runs it.

• list_pipelines
• get_pipeline_schema
• run_pipeline
• get_pipeline_run_status
• request_upload

{
  "mcpServers": {
    "pipe2ai": {
      "url": "https://mcp.pipe2.ai/mcp",
      "headers": { "Authorization": "Bearer YOUR_TOKEN" }
    }
  }
}

Full API reference→ MCP setup→ CLI reference→

Frequently Asked Questions