How to Extract Text from Images with OCR — Free & Accurate (2026)

What is OCR?

OCR (Optical Character Recognition) is the technology that reads text from images and converts it into editable digital text. It's how your phone can scan a business card, how banks digitize paper forms, and how you can copy text from a screenshot without retyping it.

Modern OCR uses AI — not just pattern matching — to understand the layout of a document, detect lines, handle handwriting, and deal with skewed or rotated text.

Why Extract Text from an Image?

Here are the most common reasons people use OCR:

• Digitize printed documents — contracts, invoices, letters, books
• Copy text from screenshots — error messages, product specs, social media posts
• Read scanned PDFs — older PDFs that contain image layers instead of selectable text
• Transcribe handwritten notes — meeting notes, study notes, handwritten forms
• Process receipts — for expense tracking or accounting
• Translate foreign text — extract first, then paste into a translator

How to Extract Text from an Image (Step by Step)

Step 1: Open the OCR Tool

Go to our Image to Text OCR converter. No account needed.

Step 2: Upload Your Image

Drag and drop your image or click Browse. Supports JPG, PNG, TIFF, BMP, and WebP up to 10 MB.

Step 3: Click "Extract Text"

The tool sends your image to AWS Textract, which reads every line and returns the extracted text — usually in under 5 seconds.

Step 4: Copy or Download

Copy the text to your clipboard with one click, or download it as a .txt file.

Which Image Formats Work Best for OCR?

| Format | OCR Quality | Notes | |--------|-------------|-------| | PNG | Excellent | Lossless — no compression artifacts | | TIFF | Excellent | Standard for document scanning | | JPG (high quality) | Very good | Avoid heavily compressed JPGs | | JPG (low quality) | Poor | Compression artifacts confuse OCR | | BMP | Excellent | Uncompressed, large file size | | WebP | Good | Modern format, works well | | Screenshot | Good | Higher DPI = better results |

Tips for the Best OCR Results

1. Use high resolution At least 150 DPI for print. 300 DPI is ideal. A blurry photo of a document gives poor results — use a scanner if you have one.

2. Keep text horizontal Textract handles slightly skewed text, but heavily rotated images (90°, 180°) reduce accuracy significantly.

3. Use good contrast Black text on white background = near-perfect accuracy. Light gray text on white, or white text on a light image, leads to missed characters.

4. Avoid busy backgrounds A photo of a document lying on a patterned tablecloth is harder to read than a clean scan.

5. For handwriting: print clearly AWS Textract supports handwriting recognition, but only for clear, block-printed letters. Cursive or messy writing will produce errors.

How Accurate is OCR?

AWS Textract — the AI behind this tool — achieves 99%+ accuracy on printed text in high-resolution documents. That means for a 500-word document, you'd expect fewer than 5 errors.

Accuracy drops for:

• Low-resolution images (under 100 DPI)
• Decorative or unusual fonts
• Dense tables without clear borders
• Handwriting (accuracy varies widely by clarity)

Can OCR Read Tables?

Yes — AWS Textract has a dedicated table extraction mode. Our Bank Statement PDF to CSV tool uses this to extract structured financial data from PDFs.

The basic OCR tool (image to text) extracts line-by-line text and preserves line breaks, but does not convert tables into CSV format. For tabular data use the bank statement tool.

Is My Image Stored?

No. Your image is sent directly to AWS Textract for processing and is never stored on our servers. The text is extracted in memory and returned to you immediately. We don't log or retain any uploaded content.

Conclusion

OCR technology has made it trivial to digitize any printed or handwritten text in seconds. Whether you're scanning receipts, transcribing notes, or copying text from a screenshot, our free tool gets it done with AWS-grade accuracy — no signup, no limits on personal use.

Try it now: Image to Text OCR →