While you're here, try these other free image and PDF tools from CleanCutBG.
📝 Free Online Image to Text (OCR)
CleanCutBG's OCR (Optical Character Recognition) tool extracts editable text from any
image, screenshots, scanned documents, phone photos of printed pages, receipts,
handwritten notes, whiteboards, and more. Once extracted, you can edit the text,
copy it to your clipboard, or export as .TXT, .DOCX (Word), or .PDF in one click.
Compatible with JPG, PNG, WebP, and HEIC files up to 20 MB. No registration
required, no branding on text exports. Use it to pull text off receipts, grab quotes
from screenshots, or turn a photographed book page into something you can edit without
retyping.
✅ What can OCR do for you?
Extract text from screenshots of chats, articles, error messages, or presentations
Digitize printed receipts, invoices, and bills for expense tracking or bookkeeping
Convert scanned documents into editable text without retyping
Copy quotes, paragraphs, or code from photos of books, magazines, or whiteboards
Turn photographed slides or presentations into editable notes
Read text from images that can't be copied normally (protected PDFs, DRM'd content, images embedded in social posts)
Save time and eliminate typing errors when working from printed source material
Export extracted text directly as Word (.docx) or PDF for immediate use in a report or email
📋 How to Extract Text from an Image
Upload an image containing text (PNG, JPG, or WebP: 1 image at a time)
The image preview appears in the left panel
Click Extract Text, the OCR engine analyses the image and pulls out every readable character
Extracted text appears in the right-panel text box, fully editable, fix any recognition errors before you export
Click Copy to Clipboard to grab all the text at once
Click Download ▾ to export as .txt (plain text), .docx (Microsoft Word), or .pdf (portable document)
🔍 What Is OCR: And How Accurate Is It?
Optical Character Recognition is the technology that reads text from
images. Modern OCR engines break the image into character-shaped regions, run each region
through a trained recognition model, and reassemble the characters into words, lines,
and paragraphs.
Accuracy depends heavily on the source image quality. Here's what you can realistically
expect:
Clean printed text (screenshots, PDFs, well-lit scans): 95–99% accuracy. Almost every character is correct.
Phone photos of documents: 85–95% accuracy. Watch out for glare, shadows, and slight blur.
Receipts and till slips: 80–90%. Thermal-printed text fades and often has narrow character spacing that confuses OCR.
Handwriting: 40–70%. Highly variable depending on the writer's neatness. Cursive is much harder than block letters.
Low-resolution, blurry, or tilted images: 30–60%. Improve the source image before running OCR, see the tips below.
💡 Tips for the Best OCR Accuracy
Higher resolution = better accuracy. Aim for at least 300 DPI for scanned documents, or full-camera resolution for phone photos.
Good, even lighting. Direct sunlight causes glare and hard shadows that confuse the OCR engine. Diffuse indoor light or overcast daylight works best.
Flat, straight page. Curved pages (open books) and tilted photos both drop accuracy. Photograph pages flat from directly above.
High contrast helps. Black text on a white background is easiest. If your image has low contrast, run it through our Enhance tool first to boost contrast.
Crop out irrelevant areas. Use our Crop tool to isolate the text region before running OCR, fewer distractions means fewer errors.
Rotate to correct orientation first. Use our Rotate tool if the text isn't horizontal. OCR expects normal left-to-right text.
Proofread the result. Even 99% accuracy means one error per 100 characters. Always scan through the output for glaring mistakes, especially numbers (0 vs O, 1 vs l, 5 vs S).
📚 Real-World OCR Use Cases
Students: Snap a photo of a textbook page, extract the paragraph you want to quote in an essay.
Bookkeepers: Batch-scan receipts, extract totals, feed into a spreadsheet.
Researchers: Turn old scanned papers into editable, searchable, quotable documents.
Content creators: Copy code snippets from screenshots of programming tutorials.
Translators: Extract source text from a photo before pasting into a translation tool.
Anyone with a stack of paper: Convert business cards, brochures, and product spec sheets into digital text you can search and share.
❓ OCR & Text Extraction — Quick Q&A
How accurate is OCR?
For clean printed text (screenshots, PDFs, professional scans), accuracy is 95–99%. For phone photos of documents, expect 85–95%. Handwriting is much more variable: 40–70% depending on legibility.
What languages does it support?
English is fully supported. The OCR engine can also handle most Latin-alphabet European languages (French, Spanish, German, Italian, Portuguese) with reasonable accuracy.
Can I extract text from handwriting?
Yes, but accuracy is lower than for printed text. Neat block letters work best; cursive is harder. Try enhancing contrast on the source image first.
Can I export the text as a Word document or PDF?
Yes, click Download and pick .txt, .docx, or .pdf. The exported file preserves the extracted text so you can edit it further in Word, Google Docs, or any editor.
Is CleanCutBG's OCR free?
Yes, free. Extract text from as many images as you need, export to TXT/DOCX/PDF — all without creating an account.
Are my scanned images stored?
No. The OCR pipeline is stateless: Tesseract reads the image from a memory buffer, extracts the text, and both the image and the text result are cleared from RAM once the response is sent. We don't store scanned documents, don't log extracted text, and don't retain any trace of your upload.
Does it work on mobile?
Yes. Snap a photo of a document, receipt, or sign, upload it here, and copy the extracted text — handy for scanning on the go without a dedicated scanner app.