Home > OCR > How to Extract Text from Image in 2026: 8 Methods for Every Situation

How to Extract Text from Image in 2026: 8 Methods for Every Situation

by Rachel Jones 2026-06-29

You photographed a receipt but your expense tool needs typed text - and you cannot select a single character from the image. Or you took a screenshot of a locked PDF, and there is no way to highlight a word. Images lock text, and without the right method, your only option is to retype everything manually.

The good news: in 2026, you have more options than ever to learn how to extract text from image files without any manual work. This guide covers 8 tested methods - desktop software, browser tools, mobile apps, and Python code - organised by situation so you can jump directly to what fits your device and workflow.

Quick Comparison: All 11 Methods at a Glance

Part 1. How to Extract Text from Image on Desktop (Windows & Mac)

Part 2. How to Copy Text from Image for Free Online (No Install)

Part 3. How to Extract Text from Picture on Mobile (Android & iPhone)

Part 4. How to Extract Text from Image Using Python (For Developers)

Part 5. Special Scenarios: When Standard OCR Fails

Part 6. FAQs of How to Extract Text from Image

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Quick Comparison: All 11 Methods at a Glance

Use this table to find your best match before reading the detailed steps. All methods below were tested on real images including clean screenshots, low-quality scans, handwritten notes, and table-heavy invoices.

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Quick Decision Guide:

• If you are on Windows 11 and want zero-install offline extraction from a screenshot → Snipping Tool Text Actions
• If you need one-click desktop OCR with AI accuracy → PDNob
• If you want completely free with no account and no download → Google Docs OCR
• If you are on Android → Google Lens (pre-installed on most devices)
• If you are on iPhone iOS 15+ → Live Text in the Photos app
• If you need to process hundreds of images automatically → Python + Pytesseract or EasyOCR

Part 1. How to Extract Text from Image on Desktop (Windows & Mac)

Desktop tools generally deliver the highest OCR accuracy, especially for scanned documents, screenshots, invoices, contracts, and large batches of images. The four methods below range from a professional AI-powered editor to free built-in Windows tools.

Method 1 - PDNob PDF Editor (Recommended for Best Accuracy)

PDNob PDF Editor is an AI-powered PDF and OCR tool that extracts text from images, scanned PDFs, screenshots, and documents. It uses on-demand page rendering and AI pre-processing (auto-deskew, noise reduction) to deliver consistently high accuracy even on imperfect scans. If you need to how to extract text from image free before committing, the free trial lets you test the OCR features fully.

Key Advantages

• AI-enhanced OCR with auto-deskew and denoising for low-quality images
• Supports image files, scanned PDFs, and multi-page documents
• Preserves formatting and table structure better than most free tools
• Works on both Windows and Mac
• Supports multiple languages
• Native batch processing panel - no scripting required

Steps to Extract Text from Image Using PDNob PDF Editor

• Open PDNob PDF Editor on your computer and click the "OCR PDF" option from the main screen. Then import the scanned PDF you want to clean up.



• Select "Convert to Editable Text" if you want to edit, move, copy, or delete the scanned text after OCR is done. Or select "Convert to Searchable Text in Image" if you want to keep the original scanned look but make the text searchable and selectable.

• Click "Perform OCR" to start the recognition process. Once it finishes, the text becomes searchable, copyable, and editable depending on the mode you selected.



• For better results, open Advanced Settings and turn on options.

Important:

For batch processing of multiple images or scanned pages, open the Batch Tools panel and drag in the entire folder. PDNob processes all files simultaneously - no command line or scripting needed.

My Testing Experience:

I tested PDNob on a 47-page scanned invoice PDF (12 MB) and a 3-page handwritten lab report. The invoice text extracted with near-perfect accuracy in approximately 8 seconds - columns, line items, and totals all preserved correctly. The handwritten report came out at roughly 85% accuracy, requiring about 15 manual corrections across 3 pages, which is consistent with its AI handwriting OCR performance. For photo to text conversion on a regular basis, the workflow is fast enough to make a measurable difference.

Real User Review (G2):

"As an HR professional, I often work with PDF documents and their editing, and PDNob has proven to be a valuable tool that makes my tasks much easier."

Best For:

• Office users handling invoices, contracts, and reports
• Students working with scanned notes and textbooks
• Anyone needing reliable copy text from image results at scale

Method 2 - Google Docs OCR (Free, No Install, Any Browser)

Google Docs includes a built-in OCR feature that most users overlook. Since it works inside Google Drive, you do not need to install anything. This makes it one of the easiest ways to learn how to extract text from image online for free. It supports screenshots, JPG, PNG, and PDF files.

Steps to Google Extract Text from PNG

• Open Google Drive in your browser, sign in to your Google account, and upload the image file (PNG, JPG, or PDF).



• After the upload finishes, right-click the image file and select Open With → Google Docs from the menu.



• Google Docs will automatically scan the image, create a new document, and place the extracted text below the original image.



• Review the recognized text, make any corrections, then copy (Ctrl+C / Cmd+C) or download as .docx.

My Testing Experience:

On a clean PNG screenshot of a 300-word article, Google Docs extracted all text correctly with no errors. On a photographed receipt with angled text, approximately 20% of characters were wrong - for example, "Total: $47.82" became "T0tal: $47,82" in the output. For occasional OCR tasks with clear images, it remains one of the easiest image to text converter free solutions available.

Best For:

• Quick one-off OCR tasks
• Students and casual users
• Anyone needing to know how to extract text from image online without downloading software

Method 3 - Microsoft OneNote (Free Built-In, Windows & Mac)

Microsoft OneNote has a hidden OCR feature that many users never discover. It lets you insert an image and immediately extract its text with a right-click. Since OneNote comes pre-installed with many Microsoft setups, it is one of the most convenient options for how to extract text from image without installing additional software.

Steps to Extract Text from an Image Using Microsoft OneNote

• Open Microsoft OneNote and create a new note page, then insert the image or screenshot using Ctrl+V or Insert → Pictures.



• Right-click the inserted image and select Copy Text from Picture from the options.



• OneNote automatically recognizes the text and copies it to your clipboard within a few seconds.

• Paste the extracted text (Ctrl+V) into Word, an email, or any other application and edit as needed.

My Testing Experience:

I tested OneNote using screenshots from websites, scanned forms, and photographed receipts. It handled clean printed text well and produced usable results for basic tasks. On a photographed form with mixed fonts, accuracy was noticeably lower than PDNob or Google Docs, and table structures were flattened into plain text. For occasional copy text from image tasks on standard documents, it is a solid free option.

Best For:

• Microsoft Office users
• Quick screenshot OCR tasks
• Offline use

Method 4 - Windows 11 Snipping Tool - Text Actions (Built-In, Offline, Zero Install)

Windows 11's Snipping Tool gained a Text Actions feature in 2023 that most users do not know about. It lets you capture any area of your screen - including text inside images, PDFs open in a browser, or locked documents - and copy the recognized text instantly. Everything runs on-device: no upload, no cloud, completely private.

Note:

Text Actions requires Windows 11 build 22621.2361 or later. To check: Settings → System → About → OS Build. If your build is older, update via Windows Update.

Steps to use Windows 11 Snipping Tool

• Press Win + Shift + S to open the Snipping Tool capture overlay. Drag to select the area containing the text you want to extract.

• The screenshot appears in the Snipping Tool window. Click Text Actions in the toolbar.

• Snipping Tool highlights all detected text. You can drag to select a specific portion, or click Copy all text to grab everything at once.

• Paste (Ctrl+V) anywhere - Word, Notepad, browser, email.

Important:

Snipping Tool also has a "Copy as table" option when the detected content is structured data (e.g., a screenshot of a spreadsheet or a table in a PDF). This outputs tab-separated values that paste directly into Excel or Google Sheets with column alignment preserved - a feature no other free built-in tool offers.

Best For:

• Windows 11 users extracting text from screenshots
• Locked PDFs viewed in a browser
• Table data from spreadsheet screenshots

Part 2. How to Copy Text from Image for Free Online (No Install)

Not everyone wants to install software. If you only need OCR occasionally, online tools can save time. Most browser-based OCR services work from any device and require only an image upload. If you are searching for how to extract text from image free, the following tools are among the most reliable in 2026.

Method 1 - Google Lens on Web (Free, Chrome, No Sign-In)

Google Lens has become one of the most widely used OCR tools because it works directly inside Chrome with no account required. Many users rely on it when they need to copy text from image files quickly from web pages or local files.

Steps to Use Google Lens on Web

• Open Google Chrome and load the image you want to scan. You can either open the image in a new tab or view it directly from a webpage.



• Right-click anywhere on the image and select Search Image with Google Lens from the menu. Google Lens will immediately begin analyzing the image content.



• After Google Lens finishes scanning, click the Text option to display all recognized text from the image. Review the detected text for accuracy.

• Select the text you need and click Copy Text. You can then paste the extracted text into a document, email, note, or any other application.

Note:

For local PNG files: drag the file into a Chrome tab to open it, then right-click → Search image with Google Lens. This works as a free google extract text from png method with no upload to external servers beyond Google.

Best For:

• Quick screenshot OCR
• Extracting text from images on web pages
• Anyone learning how to extract text from image online

Method 2 - PDNob Online (Free, High Accuracy, No Login)

PDNob also provides a web-based OCR tool for users who do not want to install desktop software. It supports common image formats and converts images into editable text within seconds with AI-enhanced accuracy.

Step-by-Step Guide

• Visit the PDNob Online OCR page and upload the image you want to convert. The tool supports common image formats and starts preparing the file for processing.



• Once the image is uploaded, the system will automatically analyze it and detect the text contained in the picture. This process usually takes only a few seconds.



• After the scan is complete, check the recognized text to make sure everything has been captured correctly. You can edit or verify the content before using it.

• Copy the extracted text directly to your clipboard or download the result if the tool provides an export option. You can then paste the text into any document or application.

Method 3 - Image To Text (Fastest Free Option, No Account)

Image To Text is one of the simplest OCR websites available. The interface focuses on speed: upload an image, wait a few seconds, get editable text. If your only goal is how to extract text from image free for a one-off task, this is the most direct path.

• Open Image To Text in any browser.



• Click the upload button or drag and drop your image file into the upload area.



• Complete the captcha verification if prompted, then click Convert / Extract Text.

• Copy the extracted text from the results area, or download as .txt.

Online OCR Comparison

The right tool depends on the type of image you need to process.

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Part 3. How to Extract Text from Picture on Mobile (Android & iPhone)

Mobile OCR has improved significantly. Modern smartphones can recognize text from screenshots, photos, scanned documents, and live camera views. Whether you are on Android or iPhone, built-in tools handle most everyday tasks without any extra app.

Android: How to Extract Text from Image

Android Method 1 - Google Lens (All Android Devices)

Google Lens is pre-installed on most Android devices and is the most reliable way to copy text from image files on Android.

• Open Google Photos or the Google Lens app and select the image or screenshot containing the text.



• Tap the Google Lens icon at the bottom of the screen. Lens automatically scans the image.

• Select the Text option and drag the selection handles to highlight the text you want.

• Tap Copy Text to save to clipboard, then paste anywhere.

Android Method 2 - Samsung Gallery T Icon (Samsung Devices Only)

• Open Samsung Gallery and select the image or screenshot.

• Tap the T icon (Text Recognition) in the bottom toolbar. Gallery highlights all detected text.

• Drag the selection handles to highlight the portion you need, then tap Copy.

iPhone: How to Extract Text from Image

iPhone Method 1 - Live Text (iOS 15+, Recommended)

Apple's Live Text feature, introduced in iOS 15, is the easiest way to extract text from any image on iPhone - no extra app, no upload, works completely on-device.

• Open the Photos app on your iPhone and select the image or screenshot containing the text.



• Tap and hold on the detected text in the image. Live Text automatically recognizes text and shows selection handles.

• Adjust the selection handles to choose exactly the text you need, then tap Copy.

• Paste into Notes, Messages, Word, or any other app.

Note:

Live Text requires iOS 15 or later. On older iPhones running iOS 14 or earlier, use the Google Lens method below instead. Live Text also works directly in the Camera app for real-time extraction.

iPhone Method 2 - Google Lens on iOS (iOS 14 and Older Devices

• Download the Google app from the App Store if not already installed.

• Open the Google app and tap the Google Lens icon (camera icon in the search bar).



• Upload your image or take a photo. Select the Text option from the Lens features.

• Highlight the detected text and tap Copy Text.

Mobile OCR Comparison

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Part 4. How to Extract Text from Image Using Python (For Developers)

For developers who need to process hundreds or thousands of images automatically, Python offers two dominant OCR libraries: Pytesseract (wraps Google's Tesseract engine) and EasyOCR (deep-learning based, better for multilingual content and handwriting). Both are free and open-source.

Method 1 - Pytesseract + Pillow (Most Widely Used, Best for Printed Text)

Pytesseract is the most widely used Python OCR library. It supports 100+ languages and is the standard first choice for developers learning how to extract text from image programmatically.

Install:

pip install pytesseract pillow

# Windows: also download Tesseract binary from https://github.com/UB-Mannheim/tesseract/wiki

# macOS: brew install tesseract

# Linux: sudo apt install tesseract-ocr

Basic usage (single image):

from PIL import Image

import pytesseract

# Windows only - point to Tesseract binary

# pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'

img = Image.open('document.png')

text = pytesseract.image_to_string(img)

print(text)

Batch processing (folder of images):

import os

from PIL import Image

import pytesseract

image_folder = 'images/'

for filename in os.listdir(image_folder):

if filename.endswith(('.png', '.jpg', '.jpeg')):

img = Image.open(os.path.join(image_folder, filename))

print(f'- {filename} -')

print(pytesseract.image_to_string(img))

Method 2 - EasyOCR (Better Multilingual & Handwriting Support)

EasyOCR is a deep-learning OCR library that supports 80+ languages and handles handwriting and stylised fonts significantly better than Tesseract. It is the better choice when standard OCR fails on difficult images.

Install:

pip install easyocr

# PyTorch installs automatically as a dependency

Basic usage:

import easyocr

reader = easyocr.Reader(['en') # add language codes: \'en', 'zh', 'ja'\ etc.]

results = reader.readtext('document.png')

for (bbox, text, confidence) in results:

print(f'Text: {text} | Confidence: {confidence:.2f}')

Extract text only (simple list):

text_only = [result[1\ for result in results]]

print(' '.join(text_only))

Python OCR Tool Comparison

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Note:

For non-developers who need batch OCR without writing code, PDNob PDF Editor's Batch Tools panel handles the same workflow in a drag-and-drop GUI - no Python or command line required.

Part 5. Special Scenarios: When Standard OCR Fails

Most OCR tools work well on clean documents and screenshots. But blurry photos, handwriting, shadows, and complex table layouts can reduce accuracy significantly. Here is how to handle each scenario.

How to Extract Text from Blurry or Low-Quality Images

If your image is blurry, low-resolution, or poorly lit, standard OCR accuracy drops significantly. Pre-processing the image before running OCR is the most effective fix - often recovering 20--30% more characters than submitting the original.

Pre-processing steps to try first:

• Increase brightness and contrast using any image editor (even Google Photos "Enhance" on mobile)
• Sharpen the image and crop unnecessary background
• Convert to black and white to improve character contrast
• For physical documents: rescan at 300 DPI minimum (600 DPI for small text). Most home scanners default to 150 DPI, which is below OCR threshold for reliable results

Real test data:

• 72 DPI blurry scan → Google Docs OCR: 61% character accuracy
• Same scan, contrast enhanced → Google Docs OCR: 79% accuracy
• Same scan → PDNob PDF Editor (AI pre-processing): 92% accuracy
• Same scan → ChatGPT GPT-4V (contextual inference): 97% accuracy

How to Extract Text from Handwritten Images

Standard OCR tools are trained on printed fonts and fail significantly on cursive or irregular handwriting. Use AI-powered tools that understand text in context, not just character shapes.

Handwriting OCR Accuracy Comparison

The table below reflects testing results using clear handwritten notes and standard OCR settings.

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Recommendation by use case:

• For occasional handwriting → ChatGPT with GPT-4V: upload the photo and prompt "transcribe this exactly"
• For regular handwriting OCR with editing →PDNob PDF Editor
• For developer integration → EasyOCR

Tips for better handwriting OCR results:

• Capture photos in good lighting with no shadows
• Keep text straight and centered in the frame
• Use dark ink on light paper when possible
• High resolution (at least 300 DPI or 12 MP camera) significantly improves results

Part 6. FAQs of How to Extract Text from Image

Conclusion

Learning How to extract text from image files is much easier in 2026 thanks to modern OCR technology. Whether you need to copy text from image files on Windows, Mac, Android, iPhone, or through an online service, there are now plenty of reliable options available.

Among the tools tested in this guide, PDNob PDF Editor stands out as one of the most practical choices. It offers strong OCR accuracy, supports multiple languages, handles difficult documents well, and makes photo to text conversion simple for both beginners and advanced users. If you're looking for a dependable way to extract text from image files without spending time fixing OCR errors, it is worth considering.

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