Image to Text (OCR)
Extract text from images and screenshots with OCR. Copy or download. Runs in your browser.
This tool reads the text inside an image and gives it back to you as words you can edit, copy, or download as a .txt file. It uses optical character recognition (OCR) to scan photos, screenshots, and scanned documents, then turns the pixels of letters into real, selectable characters, so you can pull a quote out of a screenshot or digitize a printed page without retyping it.
The recognition runs in your browser on your own device. Your image is processed locally and is never uploaded to a server, which keeps documents like receipts, contracts, and personal records private. Once the text is extracted you can fix any mistakes right in the tool before you copy or download, since OCR output is fully editable.
Drop an image to extract text
Screenshots, scans, photos of documents · runs in your browser
🔒 100% Browser-Based
Your image is processed entirely in your browser. Nothing is uploaded. Verify in DevTools → Network tab — zero outbound traffic with file content.
About Image to Text (OCR)
Extract text from images, screenshots, and scanned documents with in-browser OCR. Copy the result or download it as a .txt file. The recognition engine runs locally — your image is never uploaded.
How to use the Image to Text (OCR)
- 1
Add your image
Drop in a photo, screenshot, or scan, or paste from your clipboard. Clear, high-resolution images with dark text on a light background give the best results.
- 2
Run the recognition
Start the OCR and let it scan the image. It detects lines of printed text and converts them into editable characters; larger or denser pages take a little longer to process.
- 3
Review and correct
Read the extracted text and fix any errors, which most often appear around similar-looking characters, punctuation, or low-contrast areas. Because the output is plain editable text, you can clean it up directly.
- 4
Copy or download
Copy the text to your clipboard to paste elsewhere, or download it as a .txt file to keep. From there you can drop it into a document, spreadsheet, email, or note.
What OCR handles well, and what it struggles with
OCR is strongest on clean, predictable text and weakest on anything irregular. You'll get the most accurate results when the image has:
- High contrast, dark text on a light background.
- Horizontal, upright lines that aren't rotated or skewed.
- Sharp, high-resolution printed type rather than tiny or blurry text.
- Standard fonts like those in books, screenshots, and typed documents.
It struggles with handwriting, low-resolution or blurry photos, skewed or curved lines, decorative or stylized fonts, text over busy backgrounds or photos, and heavy glare or shadow. In those cases expect more errors and plan to proofread. This tool is tuned for English text; other languages and non-Latin scripts may not be recognized reliably.
Getting cleaner results from a photo
A few habits dramatically improve accuracy when you're capturing text with a phone camera. Hold the camera parallel to the page so lines stay horizontal rather than fanning out, and fill the frame with the text so each character has enough pixels to be recognized. Light the page evenly to avoid a bright glare strip or a dark shadow across part of the text.
If a first pass comes back messy, recapture the image straighter, closer, and better lit rather than trying to salvage a bad scan. For a printed document, a flatbed scan or a dedicated document-scanner app generally produces cleaner input than a casual snapshot, because it flattens the page and removes perspective distortion.
Quick tips
- ✓Crop the image down to just the text you want before running OCR; cutting out logos, photos, and busy borders reduces stray characters in the output.
- ✓If a photo is slightly tilted, straighten it first. Even a small rotation noticeably lowers accuracy because OCR expects horizontal lines.
- ✓For faint receipts or low-contrast pages, increasing brightness and contrast before recognition often turns unreadable text into readable text.
- ✓Always proofread numbers, codes, and punctuation, where OCR most often confuses similar characters such as 0/O, 1/l/I, and 5/S.
- ✓Expect handwriting to come out poorly; OCR is built for printed type, so a handwritten note will usually need heavy correction or manual retyping.
Frequently asked questions
Is my image uploaded for OCR?
No. The OCR engine runs in your browser. Only the engine and language data download once on first use.
What gives the best results?
Clear, high-contrast text that is roughly horizontal. Handwriting and very low-resolution or skewed text are less reliable.
What languages are supported?
This tool reads English. The text is fully editable after extraction so you can fix any mistakes.
Does my image get sent to a server?
No. The text recognition runs locally in your browser on your device, and your image is never uploaded. That keeps sensitive documents like receipts, IDs, and contracts private to you.
Can it read handwriting?
Not reliably. OCR is designed for printed and typed text. Handwriting, especially cursive, produces many errors. For best results use clear, high-contrast printed text on a straight, well-lit image.
Can I edit the text after it's extracted?
Yes. The output is plain, editable text, so you can correct any recognition mistakes directly in the tool before copying it to your clipboard or downloading it as a .txt file.