Create blog post featured images with title text overlays, gradients, and brand-consistent styling.
This tool composes a featured image for a blog post inside the browser: you choose a gradient background, add a title overlay, and optionally include a subtitle or author line, then download a ready-to-use JPEG or PNG. It enforces a fixed canvas ratio, so a title that looks right in the editor also fits the final file. The common surprise is that the canvas is sized for social and listing previews, not for full-width article headers, so text that fills the frame in the editor may be cropped in an OG image.
A concrete input and expected output from the current implementation.
Input
Gradient: Sunset (orange #FF7E5F to pink #FEB47B), Title: "5 Ways to Reduce Server Costs", Subtitle: "A practical guide for startups", Brand logo: none
Expected output
A 1200 x 630 pixel PNG with a diagonal gradient from #FF7E5F at the top-left to #FEB47B at the bottom-right. The title is centered in white bold type, wrapped as "5 Ways to Reduce" / "Server Costs", with the subtitle "A practical guide for startups" in smaller white text below.
The tool composites the chosen gradient, wraps the title text to the fixed 1200 x 630 area, and exports a single image file. The text wrap is determined by the canvas width and the font size, so a long title breaks into multiple centered lines.
The editor works on a canvas locked to a 1200 x 630 pixel area, the common Open Graph image size. Title text is wrapped automatically at word boundaries to fit the width, and you can adjust font size, weight, and spacing. The preview updates live as you type, so the final export matches what you see.
When you click download, the tool renders the current canvas state - gradient, text, and any logo - into a single raster image file, offered as JPEG or PNG. The download is generated entirely in the browser from the in-memory canvas; no server round-trip is involved, and the source image or text never leaves your machine.
The tool is built around gradient backgrounds and text overlays, so it accepts image uploads for a logo overlay, but it does not provide photo-editing features. You can place a logo image at a corner, but you cannot crop, filter, or blend a full background photo; use a gradient preset or supply an already-prepared background as a separate layer if your workflow needs that.
Yes, for the standard canvas. The export renders the same canvas state at 1200 x 630, so the text wrapping, gradient, and logo position match the preview pixel for pixel. The only difference is that the downloaded file is flattened - it loses the editable layers, so keep the project settings in the tool if you want to revisit it later without starting over.
The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
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