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Watermarking for platforms

Protect every seller with one line in your pipeline

Your sellers' listing photos get scraped to competing platforms — and each seller solves it badly, or asks you to. Watermarking at the platform level turns image protection into a feature you ship once: every upload branded, every tenant configurable, zero image infrastructure on your side.

A typical run

Input

Every listing image across all tenants

Watermark

Seller's shop name + your platform mark, per-tenant config

Output

Branded at ingest — scrapers get advertising, not assets

What unbranded images cost online marketplaces

Scraped listings drain your liquidity

When a rival platform bootstraps its supply by scraping your listings — photos included — your sellers' inventory appears somewhere you don't monetize. Branded images make wholesale scraping self-defeating: every stolen photo carries your marketplace's name.

Sellers ask, and DIY solutions are ugly

Left alone, sellers bolt on mismatched logos with phone apps, and your browse grid turns into a ransom-note collage. A platform-level mark with per-tenant content keeps protection on and the grid coherent.

Image pipelines are undifferentiated heavy lifting

Running Sharp fleets, font rendering, format conversion, and retry logic is real infrastructure — and none of it is your product. One metered API call replaces the pipeline, and usage maps cleanly onto your own tenant billing.

Watermarking for online marketplaces — API Watermark

The workflow that sticks

Platforms integrate at ingest: the image-upload service calls the watermark endpoint before writing to the CDN, with per-tenant config (shop name, placement, opacity) from your database. Usage is logged per key, so cost attribution and tenant-level metering fall out for free.

  1. 1

    Add the call at image ingest

    One POST between 'seller uploads' and 'CDN stores'. The response is the branded image; originals go to private storage for future reprocessing.

  2. 2

    Template per-tenant config

    Store each seller's mark text and placement with their shop settings. Dynamic variables ({filename}, {n}) handle per-image details without per-image code.

  3. 3

    Convert formats in the same hop

    Output WebP or AVIF as you watermark — branding and web optimization become one step in the pipeline instead of two services.

  4. 4

    Meter and attribute usage

    Every request is logged with status, latency, and size against your key. Map credits to tenants for internal cost attribution or usage-based pricing tiers.

ingest-listing-image.ts
// In the listing-image ingest service
async function brandListingImage(img: Blob, seller: Seller) {
  const form = new FormData();
  form.append("image", img);
  form.append("type", "text");
  form.append("text", seller.shopName);
  form.append("position", seller.watermark.position ?? "bottom-right");
  form.append("opacity", String(seller.watermark.opacity ?? 0.6));
  form.append("output_format", "webp");

  const res = await fetch("https://apiwatermark.com/api/watermark", {
    method: "POST",
    headers: { Authorization: `Bearer ${env.WATERMARK_KEY}` },
    body: form,
  });
  return Buffer.from(await res.arrayBuffer()); // → CDN
}

FAQ

Online Marketplaces ask us

Should the mark be the seller's brand or the platform's?

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Usually both, in one preset: the seller's shop name as the visible text (it's their trust signal to buyers) with your platform's small mark alongside (it's your scraping deterrent). Per-tenant config makes the seller portion self-serve while the platform portion stays consistent.

What latency does this add to uploads?

+
Typical listing photos process in well under a second; the dashboard shows live latency per request. Most platforms run the call inline at ingest. If your upload path is latency-sensitive, process asynchronously and swap the branded image in when the job returns.

Can sellers opt out or customize placement?

+
That's your product decision — the API just takes parameters. Common pattern: watermarking on by default with placement/opacity choices in seller settings, opt-out gated to verified sellers. Everything maps to per-request parameters you control.

How does volume pricing work for platforms?

+
Pro covers 10,000 credits/month, which suits pilots and smaller platforms. Marketplace-scale ingest is Enterprise territory — volume pricing against your monthly image count, with limits that match burst ingest. Email hello@apiwatermark.com with your numbers.

Protect your next batch in minutes

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