Extract text from images with OCR. Supports English, Portuguese, Spanish, French, German.

Free Online OCR Text Extractor

Optical Character Recognition (OCR) is the technology that converts images of text into machine-readable, editable text. Whether you have a photo of a printed page, a screenshot of a chat, a scanned receipt, or a whiteboard snapshot, OCR analyzes the shapes and patterns in the image to identify individual characters and reconstruct the original text.

KlipTools OCR is powered by the Tesseract engine, one of the most widely used and actively maintained open-source OCR engines in the world. Originally developed by Hewlett-Packard in the 1980s and later released as open source, Tesseract has been continuously improved by Google and the open-source community. It uses neural network-based recognition (LSTM) to deliver high accuracy across dozens of languages and scripts.

This tool runs entirely through your browser and our server-side processing pipeline. You upload an image, select the language of the text, and receive clean, copyable text within seconds. There is no account required, no software to install, and no watermarks or usage limits on the extracted text.

How to Extract Text from Images

Upload your image — Drag and drop a file onto the upload area, or click to browse your device. Supported formats include PNG, JPG, and WEBP.
Select the text language — Choose the language that matches the text in your image. If your document contains text in two languages (for example, English headings with Portuguese body text), select a multi-language option like "English + Portuguese."
Click "Extract Text" — The image is sent to our server, where Tesseract processes it and returns the recognized text. A progress bar shows the current status.
Copy or download — Once extraction is complete, you can copy the text to your clipboard with one click or download it as a plain .TXT file for use in any text editor, word processor, or spreadsheet.

Supported Languages and Scripts

KlipTools OCR currently supports five major languages, each with its own trained recognition model:

English — Full support for Latin characters, common punctuation, and standard typographic conventions used in American and British English.
Portuguese — Handles accented characters (a, e, c, o, u with diacritics) used in both Brazilian and European Portuguese.
Spanish — Recognizes accented vowels, the letter n with tilde, and inverted question/exclamation marks.
French — Supports cedillas, circumflexes, grave and acute accents, tremas, and ligatures like oe.
German — Handles umlauts (a, o, u) and the sharp s (eszett) character.

You can also select combined language models (e.g., English + Portuguese) for documents that mix two languages. This tells Tesseract to consider character patterns from both languages simultaneously, improving accuracy on bilingual content.

Tips for Better OCR Accuracy

Use high-resolution images. Text that appears at least 20 pixels tall generally produces reliable results. If your image is small or blurry, try taking a closer photo or scanning at a higher DPI (300 DPI is ideal for documents).
Ensure good contrast. Dark text on a light background works best. Avoid images where text blends into a busy or similarly-colored background.
Keep the image straight. Tesseract handles slight rotation, but heavily skewed or warped text (like a photo taken at a steep angle) can reduce accuracy. Try to photograph documents from directly above.
Crop tightly around the text. Removing large margins, decorative borders, or unrelated graphics helps the engine focus on the actual text content.
Avoid heavy compression. JPEG artifacts at very low quality settings can smear fine details like serifs and thin strokes. Use PNG when possible, or use medium-to-high JPEG quality.
Choose the correct language. Selecting the wrong language model can cause the engine to misinterpret characters, especially accented letters or script-specific punctuation.

Common OCR Use Cases

Digitizing printed documents — Convert paper letters, contracts, or reports into editable text without retyping every word.
Extracting text from screenshots — Pull text from app interfaces, error messages, social media posts, or chat conversations that you cannot select with your cursor.
Processing receipts and invoices — Extract totals, dates, vendor names, and line items from photographed receipts for expense tracking or bookkeeping.
Archiving handwritten notes — Photograph whiteboard sessions, sticky notes, or journal entries and convert them to searchable digital text.
Translating foreign text — Extract text from signs, menus, or labels photographed while traveling, then paste it into a translation tool.
Accessibility — Convert image-based content into text that can be read by screen readers or enlarged for low-vision users.
Research and data entry — Extract quotes, data, or references from scanned book pages, academic papers, or archived documents.

Frequently Asked Questions

What is OCR and how does it work?

OCR stands for Optical Character Recognition. It is a technology that analyzes an image containing text, identifies the shapes of individual characters, and converts them into machine-readable text. Modern OCR engines like Tesseract use neural networks trained on millions of text samples to recognize character patterns with high accuracy, even across different fonts and sizes.

What languages does this OCR tool support?

KlipTools OCR currently supports English, Portuguese, Spanish, French, and German. You can also select combined language modes (English + Portuguese or English + Spanish) for documents that contain text in two languages. Each language uses a dedicated Tesseract recognition model trained on that language's character set and common word patterns.

How accurate is the text recognition?

On clear, high-resolution images with standard printed fonts, accuracy typically exceeds 95%. Factors that reduce accuracy include low resolution, poor lighting, unusual fonts, heavy image compression, skewed text, and complex backgrounds. Handwritten text tends to have lower accuracy than printed text, though legible block handwriting can still produce usable results.

Can this tool read handwritten text?

Tesseract can recognize some handwritten text, particularly neat block lettering with clear character separation. However, it was primarily designed for printed text. Cursive handwriting, highly stylized lettering, or messy notes will generally produce poor results. For best results with handwriting, write in clear block letters with a dark pen on white paper.

Does this OCR tool support PDF files?

This tool is designed for image files (PNG, JPG, WEBP). If you have a scanned PDF, you can take a screenshot of the relevant page or use a PDF-to-image converter first, then upload the resulting image here. For PDFs that already contain selectable text, you do not need OCR — you can copy the text directly from the PDF.

What image quality do I need for good results?

For reliable OCR results, text in your image should be at least 20 pixels tall. A 300 DPI scan of a standard document works well. Photos taken with a modern smartphone camera are usually sufficient, provided the image is in focus and well-lit. Avoid blurry, dark, or heavily compressed images as they significantly reduce recognition accuracy.

What image formats are supported?

KlipTools OCR accepts PNG, JPG (JPEG), and WEBP image formats. PNG is recommended for screenshots and documents because it preserves sharp edges without compression artifacts. JPG works well for photographs as long as the quality setting is medium or higher. WEBP is fully supported and works identically to the other formats.

Is my data private? What happens to uploaded images?

Your image is sent to our server for processing and is deleted immediately after the text has been extracted. We do not store, share, or use your images for any purpose beyond the OCR extraction you requested. The extracted text is returned directly to your browser and is not saved on our servers.

Can I process multiple images at once?

Currently, this tool processes one image at a time. To extract text from multiple images, process each one individually. After copying or downloading the text from one image, click "Extract Another" to upload the next. This approach keeps the tool simple and ensures each image gets the correct language setting.

Can OCR extract tables and structured data?

Tesseract can recognize the text within table cells, but it does not preserve the table structure (rows, columns, borders) in its output. The extracted text will appear as a linear sequence of words. For simple tables, you may be able to reconstruct the structure manually. For complex spreadsheet-like tables, dedicated table extraction tools may produce better results.

How does OCR handle multi-column text?

Tesseract includes layout analysis that attempts to detect columns and read them in the correct order. It works well for standard two-column layouts like those in newspapers or academic papers. However, very complex layouts with overlapping columns, sidebars, or text wrapped around images may cause the reading order to become jumbled. Cropping to a single column before processing can help.

Does this tool work on mobile devices?

Yes. KlipTools OCR is fully responsive and works on smartphones and tablets. You can take a photo with your phone's camera and upload it directly. On most mobile browsers, tapping the upload area will give you the option to take a new photo or choose an existing one from your gallery. Processing speed depends on your internet connection rather than your device.

Can I use the extracted text for commercial purposes?

Yes. The text you extract using this tool is yours to use however you wish, including for commercial purposes. We do not claim any rights over the output. However, make sure you have the right to use the original source material — OCR does not change the copyright status of the text you are extracting.

What is Tesseract and why do you use it?

Tesseract is an open-source OCR engine originally developed by Hewlett-Packard in the 1980s and later maintained by Google. It is one of the most accurate and widely deployed OCR engines available. The current version (Tesseract 5) uses LSTM neural networks for text recognition, which provides significantly better accuracy than older rule-based approaches, especially for varied fonts and imperfect images.

How long does OCR processing take?

Most images are processed in 2 to 10 seconds, depending on the image size and the amount of text. Larger images with dense text take longer because there are more characters to recognize. Your internet upload speed also affects the total time, since the image must be transferred to our server before processing begins.

What output formats are available?

The extracted text is provided as plain text, which you can copy to your clipboard or download as a .TXT file. Plain text is universally compatible — you can paste it into any word processor, text editor, spreadsheet, email client, or note-taking app. If you need formatted output, paste the text into your preferred application and apply formatting there.

Can OCR recognize special characters and symbols?

Tesseract recognizes standard punctuation, accented characters for supported languages, common mathematical symbols, and currency signs. Very specialized symbols (mathematical notation, musical notation, chemical formulas) may not be recognized correctly. Emoji and decorative Unicode characters in images are generally not supported.

How well does OCR work on scanned documents?

Scanned documents are one of the best use cases for OCR. Documents scanned at 300 DPI or higher with good contrast typically produce excellent results, often above 98% accuracy for clean printed text. If your scan has speckles, bleed-through from the reverse side, or yellowed paper, the accuracy may be slightly lower but usually remains quite usable.

Can OCR handle dark backgrounds or inverted text?

Tesseract can handle inverted text (light text on a dark background) in many cases, though it performs best with dark text on light backgrounds. If you are getting poor results from an inverted image, try inverting the colors in an image editor before uploading. High contrast between text and background is the most important factor regardless of which is light and which is dark.

Can I use this tool offline?

No, KlipTools OCR requires an internet connection because the image processing happens on our server. This server-side approach means you do not need to download any software or language data files, and it works consistently across all devices and browsers. If you need offline OCR, you can install Tesseract locally on your computer, though it requires some technical setup.

🔤 OCR Text Extractor