What image tools does Texterfly offer?

Texterfly offers 3 free image tools: a Color Palette Generator (extracts HEX, RGB, HSL, CMYK colors from any uploaded image, with eyedropper and CSS export), an Image to Base64 Converter (converts images to data URIs with HTML, CSS, and JSON output), and a Base64 to Image Decoder (decodes Base64 strings back to visible images with download). All are browser-based with no image uploads to servers.

What color formats does the color palette generator output?

The Color Palette Generator outputs four color format codes for each extracted color: HEX (e.g. #3A86FF — used in web CSS and design tools), RGB (e.g. rgb(58, 134, 255) — used in screen design), HSL (e.g. hsl(217, 100%, 61%) — useful for manipulating lightness and saturation), and CMYK (e.g. cmyk(77, 47, 0, 0) — used in print design). You can copy any format with one click.

What is Base64 image encoding?

Base64 image encoding converts binary image data into a string of ASCII characters. The result is a "data URI" — a self-contained text string that browsers can render as an image without fetching an external file. Format: data:image/png;base64, . Base64 increases image size by ~33% but eliminates the need for a separate HTTP request, making it useful for small icons and inline images.

When should I use Image to Base64?

Use Image to Base64 when: embedding small icons directly in CSS (saves one HTTP request), including images in email signatures or HTML newsletters (bypasses email client image blocking), building single-file web applications or offline HTML files, embedding images in JSON API payloads, or adding inline images to SVG files.

What is the difference between HEX, RGB, HSL, and CMYK?

HEX (#RRGGBB) is a 6-digit hexadecimal code used in CSS and most design tools. RGB (red, green, blue) defines colour by mixing three light channels from 0–255. HSL (hue, saturation, lightness) makes it intuitive to create colour variations by adjusting a single value. CMYK (cyan, magenta, yellow, black) is used in print design, defining ink percentages for physical printing. For web design, HEX and RGB are most common. For print, CMYK is required.

What image formats does the Base64 converter support?

The Image to Base64 Converter supports: JPEG (.jpg, .jpeg), PNG (.png), GIF (.gif), SVG (.svg), and WebP (.webp). Each format produces a correctly typed data URI (e.g. data:image/png;base64,... for PNG files).

How does the Base64 to Image Decoder work?

Paste a Base64 string (with or without the data:image/...;base64, prefix) into the decoder. The tool renders the image visually, shows the resolution (width × height in pixels) and decoded file size, and provides a download button. It also detects and helps clean common issues like extra whitespace or line breaks in the Base64 string.

How does the color palette generator extract colors?

The Color Palette Generator uses a colour quantization algorithm (similar to k-means clustering) to analyse pixel data across the uploaded image and identify the most visually dominant and representative colours. You can also use the manual eyedropper tool to click any specific pixel in the image to get its exact colour code.

Are these image tools free?

Yes. All 3 image tools are 100% free with no registration, subscription, or payment required.

Are my images private?

Yes. All image processing runs entirely in your browser using the Canvas API and FileReader. Your images are never uploaded to any server, never stored, and never transmitted. This applies to all three tools including the colour palette generator.

How does this watermark removal tool work?

You paint over the unwanted area with a brush. The tool runs a content-aware fill algorithm that samples colors from surrounding unmasked pixels and reconstructs the painted area, similar to a healing brush in photo editing software.

Can this remove watermarks from any stock photo?

This tool is designed for removing small marks or objects from your own images. It is not intended to circumvent copyright protection on licensed stock photography.

Is my image uploaded to a server?

No. All processing, including the content-aware fill algorithm, runs entirely in your browser using JavaScript and the Canvas API.

Will the result look perfect?

Results depend on background complexity. Simple backgrounds like sky or solid colors reconstruct very well; detailed textures are harder to recreate seamlessly.

Back to Image Tools

Remove Watermark / Object

Paint over a watermark, date stamp, or unwanted object and remove it with free content-aware fill. 100% browser-based — your image is never uploaded to a server.

Brush + Content-Aware FillAdjustable Brush SizeUndo History100% Browser-BasedNo Upload to Server100% Free

💡 How this works: Paint over the area you want gone (a watermark, date stamp, or small unwanted object). The tool reconstructs that area using nearby pixels — similar to a "healing brush." It works best on small marks over simple backgrounds (sky, walls, solid colors) and is intended for your own images, not for stripping copyright protection from stock or licensed photos.

Drop an image here, or click to upload

JPG, PNG, WebP — processed entirely in your browser

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Remove Objects & Watermarks — Free & Private

Paint over a watermark, timestamp, or small unwanted object and this tool reconstructs that area using the surrounding pixels — similar to the "Spot Healing Brush" found in professional photo editors. All processing runs entirely in your browser; your image is never uploaded anywhere.

🖌️

Brush-Based Selection

Simply paint over the area you want gone. Adjustable brush size for precise or broad selections.

🧠

Content-Aware Fill

A patch-based algorithm samples nearby unmasked pixels and reconstructs the masked area, working inward from the edges.

🔒

100% Private

No image upload, no server processing. Everything happens locally using the Canvas API.

How to Remove a Watermark or Object

1
Upload your image
Drag and drop or click to select a JPG, PNG, or WebP file.
2
Paint over the area
Use the brush to paint directly over the watermark, date stamp, or object. Adjust brush size as needed.
3
Apply content-aware fill
Click "Apply Content-Aware Fill" — the tool reconstructs the painted area using nearby pixels.
4
Refine if needed
For stubborn marks, repeat the brush + apply process in smaller passes for a cleaner result.
5
Download
Click Download to save your edited image as a PNG file.

Tips for Best Results

🎯

Cover the mark completely

Make sure your brush fully covers the watermark or object with a small margin around the edges for a cleaner blend.

🖼️

Works best on simple backgrounds

Skies, walls, solid colors, and gentle gradients reconstruct very well. Complex textures or detailed patterns are harder to recreate seamlessly.

🔁

Use multiple small passes

Rather than one large brush stroke, try removing a mark in 2-3 smaller applications for more natural-looking results.

↩️

Undo if it looks off

If a fill doesn't look right, click Undo and try again with a different brush size or in smaller sections.

Frequently Asked Questions

How does this watermark removal tool work?: You paint over the unwanted area with a brush. The tool then runs a content-aware fill algorithm that samples colors from the surrounding unmasked pixels and reconstructs the painted area to blend with its surroundings — similar to a healing brush in photo editing software.
Can this remove watermarks from any stock photo?: This tool is designed for removing small marks, date stamps, or watermarks from your own images, or for general object removal over simple backgrounds. It is not designed or intended to circumvent copyright protection on licensed stock photography — please respect content licensing.
Will the result look perfect?: Results depend heavily on the background complexity. Simple backgrounds (sky, solid colors, gentle gradients) reconstruct very well. Detailed textures or busy backgrounds are harder to recreate seamlessly and may show some blending artifacts.
Is my image uploaded to a server?: No. All processing, including the content-aware fill algorithm, runs entirely in your browser using JavaScript and the Canvas API. Your image is never uploaded or stored anywhere.
Can I undo a fill if it doesn't look right?: Yes. Click the Undo button to revert to the state before your last "Apply Content-Aware Fill" action, and try again with adjusted brush size or coverage.
What image formats are supported?: You can upload JPG, PNG, and WebP images. The result is exported as a PNG file to preserve maximum quality.
Why is processing slow on large images?: The content-aware fill algorithm analyzes pixel neighborhoods to reconstruct each masked pixel, which is more computationally intensive on high-resolution images or large brushed areas. For best performance, work with images under 4000px on the longest side.

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