Edit Text in Any Image with AI — No Photoshop Needed

You have a product mockup with placeholder text. Or a social post with a typo. Or a sign in a photo you want to translate. In Photoshop, fixing text in an image means content-aware fill, manual retyping, font matching, perspective warping, and blending. On PonPon, you select the text, type the replacement, and the AI handles everything else.

What the AI text editor does

PonPon's text editor uses AI to understand text within images — its font, size, color, perspective, lighting, and surrounding context. When you edit, add, or remove text, the AI regenerates that portion of the image to seamlessly integrate your changes.

This is fundamentally different from slapping a text layer on top. The AI:

• Matches the existing font or finds the closest equivalent
• Preserves perspective — text on an angled sign stays at the correct angle
• Adapts to lighting — text in shadow areas gets the same shadow treatment
• Handles occlusion — if something partially covers the text, it stays covered
• Blends edges — no visible paste boundary between edited and original pixels

Core operations

Replace existing text

Select text in the image and type a replacement. The AI removes the old text, inpaints the background, and renders the new text with matching style.

Examples:

• Change a product label from "Sample" to your brand name
• Fix a typo in a marketing image
• Translate a sign from one language to another
• Update a date, price, or version number

Add new text

Click anywhere on the image and add text that wasn't there before. Choose your font, size, and color, or let the AI suggest styles that match the image's aesthetic.

Examples:

• Add a caption or watermark to a photo
• Put a price tag on a product image
• Add a headline to a generated scene
• Insert a logo or brand text into a mockup

Remove text

Select text you want to remove. The AI erases it and inpaints the area behind it — reconstructing the background texture, pattern, or color that was hidden by the text.

Examples:

• Remove watermarks from stock photos you've licensed
• Clean up screenshots by removing UI text
• Remove old branding from a template before adding new branding
• Strip text from a textured background for reuse

Practical use cases

E-commerce and product mockups

You've generated a product image with Nano Banana Pro, but it has placeholder text on the label. Instead of regenerating (and losing the perfect composition), use the text editor to replace the placeholder with your actual brand copy. The perspective, material texture, and lighting on the label are preserved.

Social media localization

You have a set of social media graphics in English. Replace the English text with Spanish, French, German, or any other language. The AI maintains the font style and layout, so you get localized versions without rebuilding each graphic from scratch.

Fixing AI generation text artifacts

AI image models are notorious for generating garbled text — almost-readable but not quite right. The text editor can fix this: select the garbled text, type what it should say, and the AI regenerates it cleanly. This is especially useful for:

• Storefront signs in AI-generated street scenes
• Book covers and posters in generated compositions
• Labels and packaging in product shots

Meme and content creation

Start with any image. Add punchy text in a style that matches the scene — the AI suggests fonts and colors that look natural in the image rather than pasted on. The result looks like the text was always part of the photo.

Screenshot and tutorial images

Editing screenshots for documentation or tutorials often requires changing text in UI elements. Instead of retaking screenshots, edit the text directly. The AI matches the UI font and maintains pixel-perfect alignment.

How to get the best results

Be specific about font intent. If the image has a specific font (e.g., a Coca-Cola label), the AI will try to match it. For standard fonts (Arial, Helvetica, Times), matching is near-perfect. For unique or custom fonts, results are close but may not be identical.

Work at high resolution. Text editing quality scales with image resolution. At 1024px, the AI has enough detail to render clean text. At 512px, small text may look soft. If your source is low-res, upscale it first, then edit the text.

Check at 100% zoom. Text edges, font weight, and kerning are details best evaluated at actual pixels. What looks fine in a thumbnail might reveal small inconsistencies at full size.

Handle long text in segments. If you're replacing a paragraph, do it sentence by sentence for the best results. The AI handles short phrases more accurately than long blocks.

Perspective matters. The more extreme the perspective angle (text on a surface receding into the distance), the more impressive the AI's work. But extremely acute angles may need a second pass for perfect results.

Text editor in workflows

On Canvas

Select any image on your Canvas board and open the text editor. Edits create a new linked node so you always have the original for comparison. This is ideal for iterating on different text options — try three headline variants and pick the best one.

In Flow

Add a Text Editor node to automate text insertion across a batch. Use parameterized text (variables from a spreadsheet) to generate localized or personalized versions of the same base image. One pipeline, dozens of language variants.

Combined with other tools

A powerful sequence: generate image (Nano Banana Pro) → remove background → add product text → upscale to 4K. Each step uses a different PonPon tool, and they chain together seamlessly on Canvas or in Flow.

Limitations to know

The text editor excels at replacing, adding, and removing text in photographs and realistic images. It's less suited for:

• Vector graphics — SVGs and vector art should be edited in a vector editor
• Precise typographic control — If you need exact kerning, leading, and baseline adjustments, a design tool like Figma is more appropriate
• Large blocks of body text — The AI is optimized for headlines, labels, signs, and short phrases. Paragraphs of body text work but take multiple passes

For everything else — product labels, signage, captions, watermarks, social text, UI elements — it's the fastest path from "wrong text" to "right text."