Input Image
Browse for an image file or drag & drop it here.
Image to Text (OCR) Converter
Extract text from images using Optical Character Recognition.
About the Image to Text (OCR) Converter
We built this tool to provide a free, powerful, and most importantly, private way to extract text from images. Optical Character Recognition (OCR) is the process of converting images of typed, handwritten, or printed text into machine-encoded text. It's perfect for digitizing scanned documents, copying text from a screenshot, or extracting information from a photo.
What makes our tool the best is its focus on privacy. It uses the powerful Tesseract.js library to perform all the OCR work directly in your web browser. This means your image is never uploaded to a server, so your sensitive files and data remain 100% secure on your computer. We also included multi-language support and a live progress bar to create a seamless and powerful user experience.
How to Use the Tool
- Click the upload area or drag and drop an image file (like a PNG, JPG, or BMP) onto it.
- A preview of your image will appear.
- Select the language that the text in your image is written in from the dropdown menu. This will load the language model.
- Once the model is ready, click the "Start OCR" button to begin the text recognition process.
- Wait for the progress bar to complete. The extracted text will then appear in the output box on the right.
- You can then copy the text or download it as a `.txt` file.
Frequently Asked Questions
What is OCR?
OCR stands for Optical Character Recognition. It 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.
Is it safe to upload my image here?
Yes, absolutely. This tool is 100% private. The OCR process runs entirely in your web browser. Your image is never uploaded or sent to our servers, so you can safely convert images containing sensitive information.
Why is the extracted text not accurate?
The accuracy of OCR depends heavily on the quality of the input image. For the best results, use a high-resolution image where the text is clear, straight, and has good contrast with the background. Blurry, distorted, or handwritten text may not be recognized correctly.
What languages does this tool support?
This tool supports over 100 languages thanks to the Tesseract.js library. Selecting the correct language for your document significantly improves the accuracy of the text recognition.
Can this tool read handwritten text?
While Tesseract.js has made significant progress, recognizing handwritten text is still very challenging and often results in low accuracy. This tool performs best on printed or typed text. For the best results with handwriting, ensure the writing is as clear and neat as possible.