Drop an image or choose a file
100% Private
Your image is processed locally in your browser and never uploaded.
Add Text to Image lets you put custom text on photos online for free. Choose font size, color, and position, then download in your browser with no upload.
Written & reviewed by Helperzy Editorial Team · Updated July 2026
Drop an image or choose a file
100% Private
Your image is processed locally in your browser and never uploaded.
Drag and drop the photo you want to caption, or click to select it. The image loads onto the canvas in your browser with nothing sent to a server, so even personal photos stay private while you edit.
Type your text, then set the font size, color, and position. Place it over a part of the image where it will stand out, and pick a contrasting color so it stays readable. The text appears live on the photo as you adjust it.
Save the image with your text baked in. The tool flattens the photo and text into a single file at full resolution, so the caption is permanent and looks identical on every device and platform.
An add-text-to-image tool lets you place words directly onto a photo — a caption, a quote, a label, or a simple headline — and download the picture with the text baked in. It saves you from opening heavy editing software just to overlay a line of text. This tool handles common formats, lets you set the font size, color, and position, and flattens everything into one image on export. Social posters, small businesses, teachers labeling diagrams, and anyone making a quick graphic all use it, and because it runs in your browser, the photo never uploads. Technically, your image is drawn onto an HTML canvas as the base, and your text is rendered on top of it using the canvas text API at the font, size, color, and coordinates you choose. When you download, the canvas is exported as a single flattened image, so the text becomes a permanent part of the picture at full resolution — not a separate layer that could shift or disappear. Positioning the text yourself lets you keep it clear of the main subject, and choosing a contrasting color (or a light color over a dark area) keeps it readable. Two mechanics are worth spelling out. Fonts are rendered by your browser using a typeface installed on your device, so the glyph shapes are drawn as anti-aliased pixels at the size you set rather than stored as editable characters — once exported, the words are pixels and cannot be retyped, only painted over. And because the text is flattened rather than kept as a layer, the choice of output format matters more than people expect: PNG keeps the letter edges exact, while JPEG applies lossy block-based compression that struggles with precisely the high-contrast edges text is made of, producing faint halos around characters at lower quality settings. The canvas redraw also strips EXIF metadata from the source photo, so no camera or GPS data travels into the captioned copy. Here is a concrete example. Take a 1080×1080 photo for an Instagram post and add the caption "Weekend vibes" in a large white font near the bottom. Position it over a darker part of the image so it stands out, bump the size until it is comfortably readable at a glance, and export — you get a 1080×1080 image with the caption permanently rendered in, ready to post with no separate text layer to manage. The real-world uses are broad. People caption photos and add quotes for Instagram posts and stories. Small businesses put a price, a tagline, or a simple offer onto a product photo. Teachers and presenters label parts of a diagram or screenshot. And anyone making a quick poster, announcement, or thumbnail adds a headline without design software. Because the text is flattened into the image, it looks the same on every device and platform. A couple of tips. Pick a text color that contrasts with the area behind it — light text on a dark region, or dark on light — so it does not disappear into a busy background; move the text if the background is too varied. Keep captions short so they stay legible, and preview before saving since the text is permanent once flattened. If you need repeated branding across many photos, a watermark tool is a better fit. The pitfall that catches nearly everyone is sizing text against a laptop preview: a caption that reads comfortably on a 27-inch screen becomes unreadable when the same image appears as a thumbnail in a feed, so make the text larger than feels right and check it small before posting. Also leave margin at the edges, since platforms crop feed previews differently and text pushed to the border often gets clipped. All processing happens in your browser via canvas, so your photo is never uploaded to a server, never stored, and the tool works offline once loaded.
Input
1080×1080 Instagram photo, caption 'Weekend vibes' in large white text near the bottom
Result
A 1080×1080 image with the caption permanently rendered in
The text is drawn over the photo on the canvas and flattened on export, so it stays put on every device with no separate layer.
Input
Product photo with a price label added in a contrasting color
Result
A single image with the price baked in, ready to post
Choosing a color that contrasts with the background keeps the label readable, and flattening bakes it into the picture at full resolution.
Upload your photo to the Helperzy Add Text to Image tool, type your text, and adjust the font size, color, and position. The text appears on the image live, and you can download the finished result. Everything happens in your browser.
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