Edit Image consultants

Q: Can I add text or watermarks to images?

Yes. The Edit Image node supports text overlays with configurable font size, colour, and position. For watermarks, you can composite a semi-transparent PNG logo onto your images at a specified position and opacity. We use this for clients who need to brand images before distributing them to partners or publishing them online.

We can help you automate your business with Edit Image and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Edit Image.

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About Edit Image

Edit Image is a built-in n8n node that lets you manipulate images directly inside your automation workflows. It handles operations like resizing, cropping, rotating, adding text overlays, adjusting quality, and converting between image formats (PNG, JPEG, WebP, GIF). If your team manually resizes product photos, adds watermarks to images, or converts file formats before uploading them somewhere, this node automates that work completely.

The Edit Image node uses the Sharp library under the hood, which is the same high-performance image processing library used by many production web applications. It runs on your n8n server, so images never leave your infrastructure — useful if you handle client assets or sensitive visual content that should not be sent to third-party APIs.

At Osher Digital, we use the Edit Image node in workflows that process visual content at scale. Common examples include automatically resizing and compressing product images for e-commerce uploads, generating social media image variants from a single source image, and adding watermarks to portfolio images before they are shared externally. If you are building a content pipeline or business automation that involves any kind of image manipulation, this node handles it without needing Photoshop, Canva, or any manual intervention.

Edit Image FAQs

Frequently Asked Questions

Common questions about how Edit Image consultants can help with integration and implementation

What image operations does the Edit Image node support?

The node supports resizing (by pixels or percentage), cropping, rotating, flipping, adding text overlays, compositing (layering one image on top of another), adjusting blur and sharpness, changing quality/compression, and converting between formats (JPEG, PNG, WebP, GIF, TIFF). You can chain multiple operations in a single node or use multiple Edit Image nodes in sequence for complex transformations.

Can it process images in bulk automatically?

Yes. When combined with a trigger node (like Google Drive Trigger or an HTTP webhook), the Edit Image node processes every incoming image through the same transformation pipeline. We build workflows that watch a folder for new uploads, process each image through a resize-crop-compress sequence, and output the results to another folder or directly to a CMS. It handles hundreds of images without manual intervention.

Is this good enough for production e-commerce image processing?

For standard operations like resizing, format conversion, and compression, yes. The Sharp library that powers this node is the same library used by major web platforms for production image processing. It handles JPEG, PNG, and WebP output with fine-grained quality control. For advanced retouching or background removal, you would pair it with a dedicated AI image service, but for the bread-and-butter resize-and-optimise work, it is production-ready.

Can I add text or watermarks to images?

How does it handle large image files?

The node processes images in server memory, so performance depends on your n8n server’s available RAM. For typical web images (under 10MB each), it handles them without issue. For very large files (print-resolution images over 50MB), you may need to allocate additional memory to your n8n instance. We size the server appropriately during setup based on your expected image volumes and file sizes.

What workflows does Osher typically build with this node?

The most common builds are product image pipelines for e-commerce (resize to multiple dimensions, compress, upload to Shopify or WooCommerce), social media content automation (take a source image, generate Instagram/Facebook/LinkedIn variants at correct dimensions), and document processing workflows where scanned images need to be cleaned up before OCR. We build these as part of our automated data processing projects.

How it works

We work hand-in-hand with you to implement Edit Image

As Edit Image consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Edit Image with integrate and automate 800+ tools.

Step 1

Document Your Image Processing Needs

We start by listing every type of image your team handles — product photos, marketing assets, scanned documents, user-uploaded content. For each type, we document the current manual steps: what sizes are needed, what formats, whether watermarks or text overlays are required, and where the final images need to end up. This defines exactly what the automation needs to do.

Step 2

Design the Image Pipeline

We map out the n8n workflow from trigger to output. This includes where images come from (Google Drive, webhook upload, email attachment), what transformations apply to each type, and where processed images are delivered (CMS, cloud storage, FTP server). We define the exact resize dimensions, compression settings, and watermark placement for each output variant.

Step 3

Build and Configure the Workflow

We create the n8n workflow with the Edit Image node configured for your specific transformation chain. Each operation is set up with exact parameters — resize dimensions, crop coordinates, text overlay content and positioning, output format and quality level. We add conditional logic if different image types require different processing.

Step 4

Connect Input and Output Systems

We wire the workflow to your source and destination systems. Images might come in via Google Drive, Dropbox, an API webhook, or email attachments. Processed images might go to Shopify, WordPress, an S3 bucket, or a shared drive folder. We handle authentication, file naming conventions, and folder structures for both ends.

Step 5

Test With Real Images

We run the workflow against a sample batch of your actual images, checking output quality, file sizes, and correct formatting. We test edge cases — unusual aspect ratios, very large files, corrupt images, unsupported formats. We adjust compression and resize settings based on the results until the output matches your quality requirements.

Step 6

Deploy and Hand Over

We deploy the workflow to production, set up error notifications for failed image processing, and provide documentation covering how to adjust settings (resize dimensions, quality levels, watermark text) without needing a developer. We monitor the first few hundred processed images to ensure consistent quality.

Transform your business with Edit Image

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Edit Image consultation.

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