Image to Text OCR
Extract editable text from screenshots, photos, and scanned documents with free in-browser OCR. No API key and no server upload required.
Input Image
Upload image for OCR
PNG, JPG, WEBP and more up to 12MB
Extracted Text
Words
0
Characters
0
Confidence
-
Processing Time
-
OCR runs directly in your browser using Tesseract.js. Your image is not sent to Axonix servers.
Use high-contrast images with clear text, and select the correct OCR language before extraction.
Privacy & Trust First
"OCR quality depends heavily on image quality, font clarity, and language selection. Clean scans with dark text on light backgrounds usually produce the highest confidence scores."
Image to Text OCR
Extract text from images online with Axonix's free OCR converter. Convert screenshots, scanned pages, and photos into editable text instantly while keeping processing in your browser.
Blazing fast
No server round-trips. No loading bars. Just instant results.
Locked-down privacy
Your data stays in your browser. Period.
Zero friction
Open the page and go. No accounts, no upsells, no clutter.
Built for people who value their time
The 30-second rundown
Drop it in
Paste text, upload a file, or enter your values.
Tweak if needed
Adjust a setting or two — most defaults just work.
Grab the result
Copy, download, or share. Done in seconds.
How This Works
Below is everything you need to get from zero to done. No fluff, just the steps and features that matter.
- 1Upload your image file (PNG, JPG, WEBP, etc.).
- 2Choose the OCR language that best matches the text in the image.
- 3Click 'Extract Text' and wait for OCR to finish.
- 4Review the extracted text in the output area.
- 5Use Copy or Download to save your results.
- 100% browser OCR using Tesseract.js
- No API key and no sign-up required
- Supports multiple OCR languages including English, Urdu, and Arabic
- Real-time OCR progress bar
- Copy extracted text to clipboard instantly
- Download OCR result as a .txt file
Real Ways People Use This
Screenshot Notes
Capture text from screenshots of lectures, meetings, or presentations and convert it into editable notes.
Scanned Documents
Extract text from scanned pages so you can search, edit, and reuse document content quickly.
Image-Based PDFs
Use OCR on exported page images when a PDF is non-selectable or locked as a scanned document.
Social Media Text
Grab text from social posts, infographics, or memes for translation or repurposing.
Making the Most of It
Good times to reach for this: Grab Image to Text OCR when a file needs a quick tweak — a conversion, resize, or cleanup — and you don't want to wait for some desktop monster to boot up.
Typical flow:
- Toss your content into the input — text, file, or whatever you're working with.
- Dial in the settings that match what you actually need.
- Glance over the output to confirm it looks right.
- Grab your result: copy, download, or send it along.
Easy traps to avoid:
- Feeding in sloppy input and assuming the tool will magically sort out every edge case — always eyeball the output first.
- Testing with toy data that looks nothing like your real workload, then getting caught off-guard in production.
- Copy-pasting straight into a live project without a ten-second sanity check. That tiny pause saves hours of cleanup.
Your data stays yours: Your files never touch our servers for standard processing. They stay on your device from start to finish.
- OCR accuracy depends on image clarity, contrast, and the selected language model.
- Screenshots with tiny fonts, motion blur, or heavy compression can produce partial or noisy text output.
- For sensitive documents, manually verify extracted names, numbers, and dates before reuse.
- 1Upload a clear image and choose the correct OCR language first.
- 2Run extraction and review confidence plus obvious recognition errors.
- 3Proofread critical fields before copying text into reports, forms, or client docs.
Questions That Usually Come Up
Dig Deeper
Want walkthroughs, deep-dives, and edge-case tips? The blog has you covered with practical tutorials written by people who actually use these tools.