Rivulet is a cloud platform for image automation pipelines. You build reusable, multi-step image workflows (resize, background removal, watermark, AI generation, webhooks) and run them at scale on serverless infrastructure. Rivulet runs in any web browser at app.getrivulet.io and is also available as an Adobe Express add-on.

Where does Rivulet run? Is it a cloud platform or a plugin?

Both. Rivulet is primarily a cloud platform: a full web app at app.getrivulet.io with pipeline management, execution history, and team features. The same platform is also exposed as an Adobe Express add-on, so designers can run pipelines without leaving Adobe Express. Same pipelines, same backend; just different surfaces.

What is an image automation pipeline?

An image automation pipeline is a saved sequence of image-processing steps that runs on every input automatically. For example: remove the background, resize to 1080x1080, apply your watermark, then POST the result to your CDN. Rivulet lets you build these pipelines visually with no code.

How does Rivulet enable image processing at scale?

Rivulet runs every step on AWS Lambda, so processing scales horizontally: there is no single machine to bottleneck on. Pipelines can process many images per execution, and higher plans unlock up to 1,000 executions per month plus multi-image batches.

How is Rivulet different from manual editing in Adobe Express?

Manual editing repeats the same steps for every image. Rivulet captures the steps once as a reusable pipeline, then runs them on demand, turning a 10-minute manual job into a single click and freeing your team to focus on creative work instead of repetitive production.

Which image operations does Rivulet support?

Resize, AI background removal (rembg), custom watermarks, text overlays, AI generation via Adobe Firefly and OpenAI (DALL-E 3), webhook triggers, and API uploads. Each step feeds its output into the next step automatically, building a complete pipeline.

Can Rivulet replace Zapier, Make, or n8n for image workflows?

Yes, for image-centric workflows. Generic automation tools route data; Rivulet routes images through purpose-built image-processing steps (resize, background removal, watermark, AI generation) and still supports webhook + API-upload steps for downstream integration.

Who is Rivulet built for?

Designers, marketers, e-commerce sellers, photographers, social media managers, and creative agencies who handle large volumes of images and want to automate repetitive production tasks. Anyone who has ever batch-resized photos by hand.

Does Rivulet support batch image processing?

Yes. Pipelines accept multiple images per execution on Pro and Max plans, and each image flows through every step in the pipeline. Combined with webhook + API-upload steps, this enables true batch and bulk processing workflows.

Does Rivulet have a free plan?

Yes. The Free plan includes 15 executions per month and up to 3 active pipelines. Paid plans (Pro at €29/mo, Max at €149/mo) increase those limits substantially.

Where are images processed and stored?

Images are processed on AWS Lambda and stored in encrypted Amazon S3 buckets scoped to your account. Pipelines and execution logs live in Supabase Postgres with real-time progress updates streamed back to the UI.

Can Rivulet call my own APIs and webhooks?

Yes. The webhook step calls any HTTP endpoint with custom method, headers, and body. The api-upload step pushes processed images to your CDN, storage service, CMS, or backend, making Rivulet the image-processing layer in front of any system.

Do I need to write code to use Rivulet?

No. Rivulet is a no-code, drag-and-drop pipeline builder inside Adobe Express. Each step has a form-based config: no scripting required. Developers can still wire up webhooks and API uploads for custom integrations.

What image formats does Rivulet support?

Rivulet accepts the common raster formats supported by Adobe Express: PNG, JPEG, WebP, and similar. Background removal returns transparent PNGs.

Can Rivulet automate social media image creation?

Yes. A common Rivulet pipeline takes one source image and exports it resized for Instagram, TikTok, LinkedIn, Twitter/X, and YouTube, with branded text and watermark, in one click.

Can Rivulet help with e-commerce product photos?

Yes. A typical e-commerce pipeline removes the product background, resizes to marketplace specs (Shopify, Etsy, Amazon), applies a watermark, then pushes the result to your CDN or product API via the api-upload step.

Cloud platform for image automation

Image automation workflows, in the cloud.

Build no-code image workflows: resize, watermark, remove backgrounds, generate with AI, push to your stack. Run them at scale on serverless infrastructure.

Start free in the cloud See it in action

No credit card required · Also available as an Adobe Express add-on

Use cases