Image to Text Converter AI Tool

An online image to text converter ai tool to extract text from images.

📁

Drag & drop image or click to upload

Supported formats: JPG, PNG, WEBP

💡 Pro tip: For best results, ensure your image contains clear, readable content.

🪙 Cost: 10 tokens

Text extraction from images and scanned documents can drain hours of your time and mental energy. Many professionals face this challenge daily. The Image to Text Converter Tool transforms this exhausting process into a quick task that takes seconds.

Our team tested text converter solutions of all sizes, and the results exceeded expectations. These AI-powered tools handle simple screenshots and complex documents with remarkable accuracy. You’ll find free options perfect for occasional needs and resilient solutions that process documents regularly.

Let us show you how these conversion tools work effectively. We’ll share expert tips to maximize results and help you direct through common text extraction challenges.

API Integration

Integrate Text to Image into your applications or automation workflows.

Endpoint

				
					Not avilable

Authentication

				
					X-Auth-Key: YOUR_API_KEY
X-User-ID: USER_ID

Parameters

Frequently Asked Questions

How can I improve the accuracy of text extraction from images?

To improve accuracy, ensure your image has a resolution of 300 DPI, use standard fonts, maintain good contrast between text and background, and keep the document straight. Pre-processing steps like removing background noise and converting color images to black and white can also help.

What image formats work best for text conversion?

TIFF or BMP formats typically provide the best results for OCR processing. While JPEG is supported, its compression can blur letter edges, making text harder to recognize. For color or grayscale images, a resolution between 150 to 300 DPI is recommended.

Can handwritten text be converted to digital text?

Yes, handwritten text can be converted to digital text using OCR technology. However, the accuracy may vary depending on the clarity and consistency of the handwriting. Some specialized OCR tools are designed specifically for handwriting recognition.

How do I handle documents with complex layouts or multiple columns?

Modern OCR systems can handle various layout complexities. Ensure proper text alignment and spacing, avoid handwritten additions or highlighting, maintain consistent font sizes, and use standard font styles for critical information. For multi-column documents, advanced OCR tools can automatically detect and process the layout.

What should I do if the converted text contains errors?

If you encounter errors, try adjusting the image quality by increasing contrast, removing background noise, or straightening skewed documents. For special characters or mathematical symbols, use specialized OCR settings. If issues persist, consider manually reviewing and correcting the output, especially for critical information.

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