Remove Text from Image

Automatically detect and remove text, watermarks, and captions from images using AI.

1

Select Images

Drag & drop images here

JPEG, PNG, WebP, GIF, HEIC, BMP, TIFF, AVIF - Max 50MB

2

Options

Detect more (may include non-text) Only clear text
Fine detail Smoother fill
Tight Wide margin

Tips

  • • Lower confidence detects more text but may include non-text areas
  • • Increase padding for large or bold text
  • • Works best on photos with clear, contrasting text overlays
How It Works

Three simple steps to transform your images

1

Upload your image

Drag & drop or click to select. Supports JPEG, PNG, WebP and more.

2

Configure settings

Adjust detection confidence and inpainting settings

3

Download result

Get your processed image instantly. No watermarks, no sign-up required.

About Remove Text from Image

The text remover uses the EAST (Efficient and Accurate Scene Text) deep learning model to detect text regions in images. Once detected, OpenCV inpainting algorithms reconstruct the background behind removed text.

This tool works best on photographs and images with clear text overlays. It can remove watermarks, captions, subtitles, and embedded text. For best results, adjust the confidence threshold to match the visibility of text in your image.

The inpainting radius controls how far the algorithm looks for surrounding context when filling removed areas. A larger radius produces smoother results but may introduce artifacts. The padding adds extra space around detected text for cleaner removal.

Why Use This Tool?

AI Text Detection

EAST deep learning model automatically locates all text regions in the image.

Smart Inpainting

OpenCV inpainting fills removed text regions with surrounding background content seamlessly.

Fine-Tuned Controls

Adjust confidence, inpainting radius, and padding for optimal results on any image.

Use Cases

Who Is This For?

Trusted by professionals and hobbyists worldwide

1

Stock Photo Users Removing Watermarks

Erase preview watermarks from purchased stock images that were delivered with embedded text overlays.

2

Translators Cleaning Foreign Labels

Remove original-language text from product images before adding translated labels in a new language.

3

Archivists Restoring Stamped Documents

Clean dated stamps and handwritten annotations from scanned archival photographs for exhibitions.

4

Content Creators Cleaning Meme Templates

Strip existing captions from meme images to create blank templates for fresh custom text overlays.

Pro Tips

Tip 1

Lower Confidence to Catch Faint Text

Set confidence to 0.3 for semi-transparent watermarks and lightly colored text that the default misses.

Tip 2

Increase Padding for Bold Fonts

Thick or outlined fonts need 5-8px padding to ensure the inpainting covers the entire stroke width.

Tip 3

Raise Confidence to Protect Content

If important image elements are being detected as text, raise confidence to 0.7+ to narrow detection.

Tip 4

Use Smaller Radius on Solid Backgrounds

An inpaint radius of 2-3 on flat color areas produces cleaner fills than the default 5 setting.

Frequently Asked Questions

What types of text can this remove?

The tool detects and removes printed text, watermarks, captions, subtitles, and overlaid text from photographs. It works best on clear, contrasting text against varied backgrounds.

Will removing text leave visible artifacts?

The inpainting algorithm fills removed areas with surrounding content. Results are best on textured or varied backgrounds. Solid-color or gradient areas may show faint traces.

Can it remove handwritten text?

The EAST detector is trained primarily on printed/scene text. It may detect some handwriting but is not optimized for it. Lower the confidence threshold to increase detection of irregular text.

How do I remove a watermark from an image?

Upload the watermarked image, lower the confidence to 0.3, and increase padding to 5-8. The tool will detect watermark text and replace it with surrounding background content.

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