IMAGE FLAGSHIP
Free Image to Text OCR Online
Extract editable text from photos, screenshots and scanned images with browser-based batch OCR in 37 languages, with per-line confidence scores and TXT, PDF and DOCX export.
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Interactive Image to Text OCR Workspace
Process your files or inputs directly in your browser. Many workflows run locally; features that need network data or a service are identified on their tool page.
At a glance
Image to Text OCR — Extract editable text from photos, screenshots and scanned images with browser-based batch OCR in 37 languages, with per-line confidence scores and TXT, PDF and DOCX export.
Free for the core workflow, no account required. Image decoding and processing are performed in the browser from the file you select.
About Image to Text OCR
Extract editable text from photos, screenshots and scanned images with browser-based batch OCR in 37 languages, with per-line confidence scores and TXT, PDF and DOCX export.
OCR can turn visual text into editable characters so you can copy, search and reuse information from an image. Accuracy depends on resolution, contrast, font, language and whether the source contains handwriting. The image is processed locally with the bundled OCR engine — nothing is uploaded. For best results, the text should be at least 12pt equivalent, high-contrast, and reasonably straight; a slight rotation is tolerated but heavy perspective is not. Worked example — a printed page of 300 words is scanned at 300 DPI and run through OCR. The engine matches 287 words exactly: 287 ÷ 300 = 95.7% correct, with 13 errors to fix by hand. The errors follow a pattern: seven are single-letter confusions such as “rn” read as “m”, four are punctuation marks, and two are digits — 1 read as 7 and 0 read as O. Fixing thirteen words takes about a minute; retyping three hundred takes far longer, which is the whole value of the tool. Table — the same page from four sources, as seen in test runs: a crisp screenshot, about 99% of words correct; a clean printed scan, about 96%; a phone photo of the page, about 90%; a whiteboard photo, about 70%. Resolution and contrast drive the result more than any setting. Before / after — before: an error message visible only inside a screenshot, impossible to search or paste into a support ticket; after: the same message as editable text, pasted into the ticket in seconds. The common mistake is OCRing a tilted, shadowed phone photo and blaming the engine. Straighten the image, raise the contrast, and crop to the text block first — the recognition rate jumps before a single setting changes. A second trap is trusting numbers blindly: OCR confuses 1, 7, l and I more than any other characters, so always proofread invoice totals, dates and phone numbers character by character. Sources: Smith, R., “An Overview of the Tesseract OCR Engine” (2007); Tesseract Open Source OCR Engine documentation (accessed November 2026). Content last reviewed: November 2026.
Primary objective: Uses browser OCR to turn visible text in batch images into editable text across 37 languages, with per-line confidence scores and TXT, PDF and DOCX export.
Privacy assurance: Image decoding and processing are performed in the browser from the file you select.
How to Use Image to Text OCR
- Choose one or more clear images containing text (up to 12 per run).
- Pick the OCR language from 37 supported languages and start batch OCR.
- Review per-line confidence scores, edit the combined text, then copy it or export TXT, PDF or DOCX.
- Choose a sharp image — a 300 DPI scan beats a phone photo of the same page.
- Pick the OCR language from the 37 available before starting the run.
- Run OCR on up to 12 images and watch the per-line confidence scores.
- Fix low-confidence lines first — they hold most of the errors.
- Copy the text or export TXT, PDF or DOCX, then proofread numbers and names.
Key Use Cases & Applications
- scanned documents
- screenshots and notes
- copying text from photos
- Extracting error messages from screenshots for pasting into support tickets or search engines.
- Digitizing printed receipts for expense records.
- Pulling an error message out of a screenshot to paste into a support ticket.
- Digitizing a printed receipt into editable text for expense records.
- Extracting a quote from a scanned book page for a citation.
Frequently Asked Questions
What is image OCR?
OCR stands for optical character recognition and converts text visible in an image into editable characters.
Can OCR read handwriting?
Some handwriting can be recognized, but typed or clearly printed text generally produces more reliable results.
Should I review OCR output?
Yes. OCR can misread characters, punctuation, tables and low-quality scans, so review important text before relying on it.
Can it read text from a photo of a whiteboard?
Sometimes, if the writing is large, high-contrast, and the photo is sharp. Whiteboard glare, small writing, and angled shots reduce accuracy significantly.
Does it work on screenshots?
Yes — screenshots are ideal sources because the text is pixel-crisp. UI screenshots, error dialogs, and chat captures recognize very well.
How do I handle multi-column or mixed layouts?
The output is linear text in approximate reading order. For complex magazine-style layouts, crop to one column at a time for cleaner results.
Can I OCR a specific region only?
Crop the image to the region first (see Image Cropper), then run OCR on the cropped version for faster, more accurate results.
Which languages can it read?
Thirty-seven languages. Pick the right one before running — OCR in the wrong language guesses badly, because the engine expects that language’s letter patterns.
What resolution works best?
The equivalent of 300 DPI. An A4 scan at 2,480 × 3,508 px reads far better than an 800 × 600 photo of the same page, because each letter has more pixels to recognise.
Can it read a PDF?
No, it reads images. Export the PDF page as an image first, then run OCR on the image.
Does it keep bold, headings and tables?
No. The output is plain linear text in approximate reading order; bold, headings and table structure must be re-applied by hand.
How many images can I OCR at once?
Up to 12 per run. Split a larger batch into groups of 12 and combine the exported text afterwards.