ExactFileHow to Extract Text from an Image (Free OCR, No Sign-up)
By ExactFile Editorial Team · Published August 25, 2026 · Updated September 1, 2026 · Fact-checked August 28, 2026
Expanded and re-verified against current tool behaviour and official portal specifications, Aug 28, 2026.
How to Extract Text from an Image (Free OCR, No Sign-up)
Need to grab text from a screenshot, a scanned document, or a photo of a page? Optical Character Recognition (OCR) reads printed text out of images and gives you clean, copy-pasteable text — no retyping, no special software.
Image to Text — Free OCR Online
Extract text from any image — screenshots, scanned documents, photos of pages.
Compress Image to 100KB
Compress any JPG, PNG, or WebP image to exactly 100KB — or any size you pick.
This guide walks you through extracting text from an image for free, explains what affects OCR accuracy, and shows you how to prepare your images for the best possible results.
The free way
Use the Image to Text (OCR) tool — it runs Tesseract, the same open-source OCR engine used by Google and Microsoft, right on the server. No sign-up, no daily limit, no watermarks on the output.
The whole process takes a few seconds per image, and the result is plain text you can copy, edit, or save as a .txt file.
Step-by-step
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Go to the Image to Text tool.
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Upload your image — JPG, PNG, WebP, and HEIC (iPhone) all work. Drag and drop, browse, or paste with Ctrl+V.
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Click Process — the tool converts the image to grayscale, enhances contrast, and runs OCR automatically.
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Read and download — extracted text appears in a preview panel on the page. Download it as a
.txtfile, or just copy it straight from the preview.
If the output has mistakes, don't give up — the problem is almost always the image, not the tool. The preparation tips below will fix most issues.
What affects OCR accuracy
OCR works by comparing the shapes of letters in your image against patterns it knows. Anything that makes those shapes harder to read will lower accuracy. The four biggest factors:
Resolution
OCR engines need enough pixels to see each letter clearly. As a rule of thumb, small text needs at least 300 DPI (dots per inch) at its printed size. A blurry phone photo of a page taken from across the room simply doesn't contain enough detail for the engine to work with — no software can recover pixels that were never captured.
Contrast
Dark text on a light background is ideal. Faded print, grey-on-grey screenshots, shadows across a page, or photos taken in dim light all reduce the contrast between letters and background, which confuses the engine. Good, even lighting matters more than an expensive camera.
Fonts
Standard fonts — Arial, Times New Roman, Calibri, Courier — are recognised almost perfectly. Decorative, italic, condensed, or very thin fonts are harder because the letter shapes deviate from what the engine expects. Handwriting-style fonts fall into the same problem category.
Handwriting
This is the hard limit for most free OCR. Tesseract is designed for printed text. Neat, printed (block-capital) handwriting sometimes works; joined-up cursive almost never does. If you need to digitise handwritten notes, expect errors, and budget time for manual correction.
Preparing images for better OCR
A minute of preparation before uploading can turn a garbled result into a clean one:
- Crop tightly. Remove everything except the text you want — margins, images, logos, and page decorations only add noise. Smaller, focused images also process faster.
- Straighten the page. OCR engines handle slight rotation, but a photo taken at an angle (where lines of text slope) reduces accuracy. Rotate the image so lines of text are horizontal.
- Improve contrast. If the text looks washed out, increase brightness and contrast in any photo editor before uploading. The tool does its own enhancement, but starting with a clean image helps.
- Follow the 300 DPI rule. When scanning, choose 300 DPI or higher. When photographing, get close enough that the text fills the frame rather than zooming digitally afterwards.
- Avoid compression artifacts. Screenshots saved as PNG are sharper than the same screenshot saved as a low-quality JPG. If your file is very large, you can compress it first, but don't over-compress — blocky JPG artifacts around letters hurt accuracy.
Expected accuracy by image type
| Image type | Expected accuracy | Notes |
|---|---|---|
| Typed document (scanned, 300 DPI+) | 98–100% | Near-perfect; occasional punctuation errors |
| Screenshot (PNG, standard fonts) | 95–99% | Excellent if text isn't tiny or anti-aliased oddly |
| Phone photo of a printed page | 85–97% | Depends heavily on lighting, angle, and steadiness |
| Handwriting (printed letters) | 50–80% | Highly variable; cursive is usually unusable |
These are realistic ranges, not guarantees — a perfectly lit phone photo can beat a bad scan, and a faded scan can underperform a careful photo.
Is my image private?
Yes. Your image is uploaded to a private temporary area, processed, and automatically deleted within 30 minutes. It is never viewed by a human, never used to train anything, and never shared with third parties.
A few points worth knowing:
- Automatic deletion happens whether you close the tab or not — you don't need to do anything.
- Nothing is stored in an account, because there are no accounts. There's no history of your uploads to leak later.
- For everyday documents (screenshots, forms, recipes, letters), this is as private as any online tool reasonably gets. For genuinely sensitive material — medical records, legal documents — the safest option is always offline software that never sends the file anywhere.
When to use OCR vs PDF text extraction
If you have a digital PDF (one with a text layer — the kind where you can select and copy text already), use the PDF to Text tool instead. It's instant and perfectly accurate because it reads the embedded text directly, not pixels.
If your PDF is a scan (images of pages with no text layer), the PDF to Text tool will tell you, and you should use Image to Text on each page image instead. The quick test: open the PDF and try to select a word with your mouse. If you can, it's digital; if the whole page highlights as one block, it's a scan.
Related tools
- PDF to Text — extract text from digital PDFs instantly
- PDF to Word — convert PDF to editable Word document
- HTML to PDF — convert HTML files to PDF
- Compress Image — shrink images before OCR for faster processing
FAQ
Is the OCR tool really free with no limits?
Yes. There's no sign-up, no account, and no daily cap on how many images you can process. The output is plain text with no watermark or branding added.
Which image formats can I upload?
JPG, PNG, WebP, and HEIC (the default iPhone photo format) all work. Screenshots saved as PNG tend to give the sharpest results because PNG is lossless.
Can OCR read handwriting?
Only partially. Neat block letters sometimes convert with 50–80% accuracy, but joined-up cursive almost always fails. Tesseract — the engine behind the tool — is built for printed text, so plan on correcting handwritten conversions manually.
Why is my extracted text full of mistakes?
The image is almost always the cause. Check that the text is at least 300 DPI equivalent, the page is straight, lighting is even, and you've cropped tightly around the text. Re-photographing a page up close in good light fixes most problems.
What happens to my image after processing?
It's stored in a private temporary area while being processed and deleted automatically within 30 minutes. No human ever sees it, and it isn't shared or reused for any purpose.
Should I use OCR or the PDF to Text tool?
If your file is a digital PDF with selectable text, use PDF to Text — it's instant and 100% accurate. Use OCR only when your text exists purely as pixels: screenshots, photos, and scanned documents.