Drop files here, or click to browse
Max 20 MB · Single file
How to use
01
Upload the image
Add a photo, scan, or screenshot up to 20 MB. Sharp, well-lit, straight-on images with dark text on a light background recognize far better than angled phone shots.
02
Press Extract text
The first run downloads roughly 5 MB of English language data, then a progress bar tracks recognition. Longer pages take longer since the work runs on your CPU.
03
Copy the result
The recognized text appears in the Extracted text box with a copy button beside it. Skim for misread characters like 0 versus O before pasting it anywhere important.
Why Image to Text (OCR)
- Extract text from any image, receipts, screenshots, scanned docs.
- Powered by Tesseract.js running in your browser.
- First run downloads ~5MB language data (cached afterwards).
Common questions
How accurate is the image to text converter?
On clean printed text, a sharp scan, a screenshot, a laser-printed page, accuracy is typically very high. It drops with blur, low contrast, skewed angles, decorative fonts, and small type. Handwriting is largely out of reach for this engine, so treat handwritten notes as a manual job.
Can it turn a picture to text if the photo is tilted or blurry?
It will try, but tilt and blur are the two biggest accuracy killers. Reshoot flat and straight-on if you can, and crop away everything except the text region with the Image Cropper first. A tight, level picture to text conversion routinely beats a wide messy one.
What languages can this OCR read?
The tool currently loads the English recognition model only. Latin-alphabet text in other languages may come out partially readable, but accents and language-specific characters won't be reliable. For non-English documents you'll want an OCR setup with the matching language pack.
Does my receipt leave my device during OCR?
No. Tesseract runs as WebAssembly inside your browser, so the image is processed in local memory and never uploaded. That makes it reasonable to use on receipts, invoices, and documents with account numbers on them.
Why is the first text extraction slower than the rest?
The engine fetches its English training data, around 5 MB, on the first run and caches it. Later extractions skip the download and start recognizing immediately, with speed then depending on your image size and CPU.
Will the extracted text keep my receipt's layout?
You get plain text with line breaks, not a formatted table. Simple top-to-bottom receipts survive well; multi-column layouts can interleave lines from different columns. Item names and totals stay searchable either way, which is usually the point.
Is there a size limit when I extract text from image files?
Uploads are capped at 20 MB, which comfortably covers phone photos and standard scans. Very large images take longer to process rather than failing, so if a huge scan crawls, crop it into sections and run each piece separately.