AI Watermark | Pipe2.ai

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Source Video

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Logo Image

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Watermark API

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

Get an API token

inputs: 6
required: 2
Pricing: 0.5 credits

Language

TypeScript Python Go CLI

bun add @pipe2-ai/sdk

Run a pipeline

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",
  },
});

pip install pipe2

Run a pipeline

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",
    },
))

go get github.com/pipe2-ai/sdk-go

Run a pipeline

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)
}

brew install pipe2-ai/tap/pipe2

Run a pipeline

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

Per page

Input	Type	default	Description
`source_video_url`required	string	default—	Public URL of the video to watermark.
`watermark_url`required	string	default—	PNG, SVG, or JPEG, PNG or SVG with transparency reads cleanest on any background
`margin_pct`	integer	default4	Inset from the chosen corner, as a percent of the video width
`opacity`	number	default0.85	Lower values blend the logo into the background
`position`	enum	defaultbottom_right	Corner to place the watermark in. top_left · top_right · bottom_left +1 `top_lefttop_rightbottom_leftbottom_right`
`scale_pct`	integer	default12	Width of the logo relative to the video frame

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

https://mcp.pipe2.ai/mcp

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

MCP setup

Full API reference CLI reference

Recipes using this pipeline

Show all recipes

One prompt → a vertical AI dance reel

Generate a labeled dance-move grid, use it as the choreography reference for a music-synced dance, then combine both into a vertical reel.

6 pipelines one CLI command

Open recipe
1. 1 Image Generator
2. 2 Music Generator
3. 3 Image Motion
4. 4 Video Generator
5. 5 Video Reel
6. 6 Watermark
Open recipe

Articles about this pipeline

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Frequently Asked Questions

What image format works best?

PNG or SVG with a transparent background, an SVG logo is rasterised at high resolution so it stays sharp at any watermark size. JPEG works too but the rectangular frame around the logo will be visible. Aspect ratio is preserved, pick any image and the Size slider controls how wide it is.

Will my video be re-encoded?

Yes, one fast H.264 pass at high visual quality, audio copied through unchanged. On a 10-second 1080p source that's a couple of seconds of processing.

Can I position it anywhere?

Four corners, with an adjustable Edge Margin that insets the logo from the edge (as a percent of the video width, so it sits the same visual distance from the corner at any resolution). Mid-frame placement is not available, run watermark again to add a logo in a second corner.

How many credits does it cost?

0.5 credits per pass.