How to Extract Text From an Image: Best Free OCR Tools

Have you ever received a screenshot, scanned document, or photo containing information you need to copy? You can see the words clearly, but selecting and copying them is impossible because they are part of an image.

Re-typing everything manually is slow and can introduce mistakes, especially when the image contains long paragraphs, tables, or numbers. Fortunately, you do not have to type the entire document yourself.

The solution is OCR (Optical Character Recognition). OCR technology analyzes an image, recognizes the characters it contains, and converts them into text that you can copy, edit, or save.

This guide explains how to extract text from images, which free tools you can try, and how to get more accurate results from JPG files, PNG screenshots, scanned documents, and photos.

What Is Image-to-Text Conversion?

Image-to-text conversion is the process of extracting written content from an image and turning it into machine-readable text. The technology commonly used for this task is called OCR.

For example, suppose you have a screenshot containing the following sentence:

Text inside the image:

Please submit your application before October 30.

After OCR processing, you can get editable text:

Please submit your application before October 30.

You can then paste the result into Microsoft Word, Google Docs, an email, a spreadsheet, or another application.

OCR is useful for extracting text from:

• JPG and JPEG photographs

• PNG screenshots

• Scanned paper documents

• Printed books and articles

• Receipts and invoices

• Business cards and forms

• Images containing Chinese, Japanese, or other supported languages

Keep in mind that OCR extracts recognizable text. It does not automatically reproduce the original image's exact layout, colors, fonts, or graphic elements.

How to Extract Text From an Image Online

If you want to copy words from a JPG or PNG file, an online OCR tool is often the simplest place to start.

Step 1: Choose an Image-to-Text Tool

Find an OCR tool that supports your image format and language. If you want to avoid installing software, look for a browser-based solution.

For example, you can explore imagetoall to see the image processing tools it offers. Before using any OCR (Optical Character Recognition) service, please verify that it currently supports text recognition, and check whether it is compatible with the file types and languages ​​you need.

Access the conversion tool here: https://imagetoall.com/image-to-text/

For a tool that specifically extracts text from images, make sure it provides an OCR function rather than only image conversion or compression.

Step 2: Upload Your Image

Select the JPG, PNG, or other supported image file from your device.

Choose the clearest version available. An original screenshot or high-resolution photograph generally gives OCR software more information to work with than a heavily compressed copy.

If the image contains several pages, check whether the tool supports batch processing or whether you need to process each image separately.

Step 3: Select the Recognition Language

Some OCR tools detect the language automatically. Others allow you to choose it manually.

Selecting the correct language can improve recognition accuracy, particularly when an image contains Chinese, Japanese, Korean, or a mixture of languages.

If the document contains technical terms, unusual symbols, or several writing systems, you may need to correct some characters manually after extraction.

Step 4: Run OCR Recognition

Click the tool's recognition or extract-text option.

The software analyzes the image and identifies character shapes, word boundaries, and, in some cases, paragraph structure.

Processing time depends on image size, text density, the recognition engine, and whether the tool runs locally or on a server.

Step 5: Review and Copy the Extracted Text

Once recognition is complete, inspect the output before using it.

Pay particular attention to:

• Numbers, dates, and decimal points

• Similar-looking letters and digits

• Punctuation and special characters

• Names, addresses, and technical terminology

• Line breaks and paragraph order

When the text looks correct, copy it into your preferred editor or save it in the format supported by the tool.

Best Free Tools for Extracting Text From Images

Different OCR tools are better suited to different situations. The best choice depends on the languages you need, your privacy requirements, and whether you want to extract text from one image or a large collection of documents.

Google Drive and Google Docs

Google Drive can be useful when you have an image or scanned document and want to turn its text into editable content.

A common workflow is to upload the image or a supported PDF to Google Drive, then open the file with Google Docs when the OCR conversion option is available. Google Docs attempts to recognize the text and place it in an editable document.

This approach is convenient for ordinary printed text and documents that you plan to edit further.

Formatting may not be preserved perfectly, particularly for complex tables, columns, or images containing mixed layouts. Availability and recognition quality can vary by file and language.

Google Lens

Google Lens is useful for extracting text directly from a photograph, screenshot, or image displayed on a compatible device.

Depending on the device and application, you can select recognized text, copy it, translate it, or search for related information.

It is especially convenient when you only need a few sentences from an image rather than the entire document.

Microsoft OneNote

Microsoft OneNote has offered OCR capabilities for extracting text from pictures and certain inserted documents. The exact workflow and supported features depend on the version you use.

OneNote can be helpful if you already organize research notes, meeting materials, or reference images in the application.

For large-scale document processing, check the OCR capabilities of your specific OneNote version before choosing it as your main solution.

Tesseract OCR

Tesseract is an open-source OCR engine that can recognize text in images using supported language data files.

It is suitable for users who want more control over their workflow or need to build image-to-text functionality into a website or application.

Unlike a simple online converter, Tesseract may require installation, configuration, and programming knowledge. You also need to choose appropriate language data for the text you want to recognize.

Browser-Based OCR Tools

Online OCR tools are convenient when you want to upload an image, extract the text, and copy the result without installing desktop software.

When evaluating a browser-based tool, look for support for your image format, recognition languages, output options, file-size limits, and privacy practices.

If you prefer not to upload sensitive images, consider a tool that performs OCR entirely in your browser. Do not assume that every online tool processes files locally; verify how the specific service works.

Can You Extract Text From JPG and PNG Images?

Yes. JPG and PNG are commonly supported input formats for OCR tools.

The file extension alone does not determine whether recognition will work well. Image clarity, text size, contrast, orientation, and language support all influence the result.

If your image contains a clear block of printed text, OCR is generally a practical option. Handwriting, decorative fonts, and complex page layouts may require more manual correction.

How to Improve OCR Accuracy

OCR cannot reliably recover information that is missing or unreadable in the original image. A few preparation steps can make a meaningful difference.

Use a Clear, High-Resolution Image

Start with the original image whenever possible. Avoid enlarging a small image and expecting it to gain detail.

If the text looks blurry when you zoom in, try to obtain a sharper screenshot or scan before running OCR.

Improve Contrast

Dark text on a light background is usually easier for OCR software to recognize than low-contrast text.

If necessary, adjust brightness and contrast or create a cleaner scan. Avoid excessive processing that removes thin strokes or changes the shape of characters.

Straighten Rotated Images

A photograph taken at an angle or a page that is tilted can make text recognition more difficult.

Crop unnecessary borders and straighten the image before running OCR. If the page is curved or distorted, a tool with document correction may help.

Select the Correct Language

OCR engines use language-specific models and character sets. Selecting the wrong language may produce incorrect words or confusing substitutions.

For multilingual documents, look for a tool that supports the relevant languages together, or process different sections separately when appropriate.

Check the Output Against the Original

Even a good OCR engine can confuse similar characters. For example, the number 0 may be mistaken for the letter O, while 1 may be confused with I or l.

Always verify critical information such as bank details, invoice totals, addresses, legal terms, and dates before using the extracted text.

Can You Extract Text From an Image Without Uploading It?

Yes, provided you use software that supports local OCR processing.

Browser-based OCR can run with JavaScript and an OCR engine such as Tesseract.js. In this setup, the image can be processed on your device without being sent to an external server, assuming the application is correctly implemented and does not transmit the image through another service.

Local OCR has several advantages:

• Images can remain on your device.

• You do not need to send confidential documents to an OCR provider.

• Recognition may work without a server-side conversion step once the required resources are available.

• You can build OCR functionality into a browser-based tool.

There are trade-offs. Downloading language models, processing large images, and recognizing multiple languages can consume browser memory and CPU resources. A local tool may also be slower on older devices.

If privacy matters, review the tool's technical design and network behavior rather than relying only on a claim that it works in your browser.

What If You Want to Extract Text From a PDF Instead?

If the information is inside a PDF rather than a standalone image, the right method depends on how the PDF was created.

A PDF containing selectable text usually allows you to copy the text directly. You may not need OCR at all.

A scanned PDF is different. Each page may contain only an image, so an OCR process is needed to recognize the words. Some PDF tools can add a searchable text layer while keeping the scanned pages visible.

If you need the extracted content in an editable document, choose a tool that supports PDF OCR or export to a text-based format. Review the output carefully when the original document contains tables, columns, or multiple languages.

Frequently Asked Questions

How do I copy text from a picture?

Use an OCR tool or a built-in text recognition feature such as Google Lens on a compatible device. Open the image, run text recognition, select the words you need, and copy them into another application.

Is there a free way to extract text from images?

Yes. Google Lens, Google Drive and Google Docs workflows, open-source OCR engines such as Tesseract, and some browser-based OCR services can extract text without requiring a paid OCR API. Feature availability and usage limits vary.

Can OCR recognize Chinese and Japanese text?

Many OCR engines support Chinese and Japanese, but you need a tool with the relevant language models. Recognition quality depends on image clarity, font style, language selection, and the engine used.

Can I extract text from a screenshot?

Yes. Screenshots are often suitable for OCR because they may contain sharp, high-contrast text. Very small fonts, low-resolution screenshots, and unusual typefaces can still cause recognition errors.

Does OCR preserve the original formatting?

Not always. OCR primarily focuses on recognizing characters and words. Some tools preserve paragraphs and basic layout, but complex tables, columns, fonts, and spacing may need additional editing.

Is OCR safe for confidential documents?

The answer depends on how the software processes your image. A properly configured local OCR tool can keep the image on your device. With an online service, review its privacy policy and verify whether files are uploaded, stored, or processed by a server.

If you need to extract the content from a picture, OCR is usually the most effective approach. It can turn text in screenshots, JPG photographs, PNG files, and scanned documents into editable content without requiring you to type every word manually.

For a quick extraction, try Google Lens or a suitable online OCR service. If you process documents regularly or need greater control over privacy, a local OCR solution such as Tesseract may be worth considering.

Choose a tool that supports your image format and language, start with the clearest image available, and check the recognized text before relying on it. Those steps will help you get more accurate results with less manual work.