Image to Text

Extract text from images automatically.

4.8/5 - 1,240 votes

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How to Convert Images to Text?

Extract text from images (JPG, PNG) instantly using our free online OCR tool.

1

Upload Image

Select or drag & drop your image file (JPG, PNG, etc.).

2

Auto-Scan (OCR)

Our OCR engine scans the image to identify and extract characters.

3

Download Text

Get the extracted content as a .txt file, ready to copy or edit.

Best Results?

For the best accuracy, ensure your images are clear, well-lit, and not blurry. Higher resolution images yield better text recognition.

Engineering Philosophy

From Pixels to Prose.
OCR Precision.

Converting an image to text isn't just about recognizing letters; it's about understanding context. We utilize advanced Optical Character Recognition (OCR) engines that analyze the geometry of every curve and line.

Our pipeline pre-processes images to enhance contrast and remove noise (denoising) before feeding them into the recognition neural network. This ensures high accuracy even with low-quality scans or photos.

Whether it's a scanned document, a receipt, or a screenshot, we extract the text layer while preserving line breaks and layout structure as much as possible.

Crafted by Ex-SaaS Engineers

Tesseract 5

Powered by the latest LSTM neural network models.

Multi-Lingual

Supports English, Spanish, French, and more.

Fast Extraction

Get editable text in seconds.

What is OCR?

Optical Character Recognition (OCR) is a technology that converts different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data.

Instead of retyping text manually, our Image to Text tool automates the process. It recognizes the shapes of letters in the image and translates them into machine-encoded text.

Manual Typing vs. AI OCR

Feature
Manual Typing
Our OCR Tool
Speed
Slow (WPM)
Instant
Accuracy
Typo Prone
High Precision
Effort
High
Zero
Cost
Time Consuming
Free

Technology Behind the Scenes

We leverage Tesseract, an open-source OCR engine maintained by Google. It uses Long Short-Term Memory (LSTM) based neural networks to recognize text lines. This allows for:

  • Layout Analysis: Detecting columns and blocks of text.
  • Pattern Matching: Identifying fonts and styles.
  • Dictionary Support: Using language data to correct recognition errors.

Key Terminology

OCR

Optical Character Recognition. The electronic conversion of images of typed text into machine-encoded text.

Noise

Random pixels or specks in an image that can confuse the OCR engine.

DPI

Dots Per Inch. Higher DPI (resolution) usually leads to better OCR results.

.txt output

Plain text format using standard encoding (UTF-8) compatible with all editors.

Tool Specs
Supported FormatsJPG, PNG, BMP
OutputPlain Text (.txt)
Max File Size20 MB
Privacy Encrypted

Private & Secure

Your images are processed in memory and are never manually reviewed. They are deleted instantly after extraction.

100% Automated

Trusted by Students & Pros

"I use this to digitize my lecture notes from photos. It saves me hours of typing!"

J
Jessica L.
Student

"Surprisingly accurate even with screenshots. The plain text export is exactly what I need."

D
David K.
Data Analyst

Common Questions

Does it preserve formatting?
Our tool focuses on extracting the text content. While it tries to maintain line breaks, complex formatting (layout, fonts) is usually not preserved in the .txt output.
Does it support handwritten text?
Handwriting recognition is very difficult. Our tool is optimized for printed, typed, or digital text. Handwriting results may be poor.
What languages are supported?
We support 20+ languages including English, Spanish, French, Chinese, Hindi, Arabic, Japanese, Korean, and many more. Our engine automatically detects and processes mixed-language documents.
Is there a limit?
You can upload multiple images, but we recommend keeping file sizes reasonable for faster processing.

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