Convert images to text online with free OCR
The OCR Image to Text Converter on TextToPDF is built for one clear job: take text that appears inside an image and turn it into editable, selectable text. You can upload a screenshot, scanned note, document photo, label, form, receipt, classroom image, or saved graphic, then run online OCR directly in your browser.
Unlike tools that force every image through a paid server OCR queue, this converter uses browser-based OCR for the free workflow. That means you can use the image to text converter repeatedly without signing in, buying credits, or using an account-based OCR quota. Practical limits still depend on image size, browser memory, and your device, but normal image OCR use stays free.
Select only the image area you want to read
Many images contain more than text. A screenshot may include buttons, icons, boxes, background shapes, profile photos, charts, or decorative elements. Standard OCR can sometimes mistake those shapes for letters. This tool solves that problem by letting you select the exact area of the image before extraction.
Drag over the paragraph, line, receipt item, table label, or document section you want to convert. The OCR engine will focus on that selected region instead of reading the whole image. This improves accuracy and reduces unwanted text from unrelated parts of the image.
Cleaner OCR for better accuracy
The Cleaner OCR option improves browser OCR by preparing the image before recognition. It can upscale the selected image area, convert it into a cleaner black-and-white version, increase contrast, and ignore weak OCR guesses. This is useful when an image has noisy backgrounds, compression blur, faint text, shadows, or shapes near the words.
You can also choose the OCR mode that matches your image. Use Block mode for paragraphs, Line mode for a single selected line, Sparse mode for scattered labels, and Auto mode for general screenshots. These controls help the browser OCR engine read the image more accurately without turning the free tool into a complicated workflow.
What you can use this image OCR tool for
Unlimited OCR without account-based credits
People often search for unlimited OCR because many online OCR websites limit the number of images, pages, or conversions available each day. This image to text converter is different for normal image OCR because the recognition runs locally in your browser. There is no paid OCR credit system for the free browser OCR flow, and you do not need an account to extract text from images.
The word unlimited should still be understood in a practical way. Very large images, heavy browser sessions, or older devices can slow down OCR. For best results, upload a clear image, select only the text area, and use Cleaner OCR when the background is noisy.
How to get better OCR results
- 1. Use a clear image. OCR works best when the letters are sharp and the image is not blurry.
- 2. Select only the text area. Avoid icons, borders, photos, and decorative shapes around the words.
- 3. Choose the right OCR mode. Use Line for one line, Block for paragraphs, and Sparse for scattered labels.
- 4. Turn on Cleaner OCR. Use Balanced for most images and Strong when the image has noise or background clutter.
- 5. Review the output. OCR creates editable text, but low-quality images may still need manual correction.
Private browser-based OCR
Browser OCR is useful for privacy-conscious document work because the free image recognition process happens on your device. The tool is designed for quick, everyday image to text conversion where you want to copy text from an image without installing software or sending every image into a paid OCR pipeline.
FAQs
Is this image to text OCR tool free?
Yes. The browser OCR workflow is free and does not require an account.
Can I OCR only part of an image?
Yes. Upload the image and drag over the exact area you want to convert to text.
Which image formats are supported?
The tool supports PNG, JPG, JPEG, WebP, and BMP images.
Why does OCR sometimes read text that is not there?
OCR engines read pixels and can mistake shapes, borders, icons, or compression noise for letters. Selecting only the text area and using Cleaner OCR reduces this problem.