OCR for Driver’s Licenses
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AI powered
OCR for Driver’s Licenses
Extract Text from Driver’s Licenses Online with OCR Technology
or drag and drop a file
Supports all image, video and audio formats, up to 100MB and 1 hour recording
By using the product, you agree to our Terms of Service and have read our Privacy Policy.
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Registered Users
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Notes Created
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Notes Created Daily
Frequently Asked Questions
The OCR tool extracts text from images using Optical Character Recognition. It helps digitize printed and handwritten text from driver's licenses and more.
The OCR tool supports JPEG, PNG, GIF, BMP, WebP, TIFF, and more. Each file can be up to 100 MB in size.
Upload a clear image of the driver’s license to the tool. The OCR processes the image and extracts the text, which can be copied, downloaded, or saved to Evernote.
Yes, the maximum file size is 100 MB per image, allowing for high-resolution uploads for better OCR accuracy.
OCR can recognize handwritten text, but quality may vary. Clearer handwriting results in better text extraction.
The extracted text is provided as plain text. While you can download it or copy it to a clipboard, no formatting is preserved.
Yes, multiple images can be uploaded and processed in order. However, batch processing in parallel isn’t supported.
After extraction, you can copy the text, download it as a file, and save it to Evernote. Formatting is not retained.
No, the tool only extracts text; it doesn’t allow for editing the content of driver’s licenses.
Yes, clear and high-quality photos of driver licenses are supported to ensure accurate text extraction.
No, an internet connection is required as OCR processing is done online.
No, only plain text is extracted. Layout, tables, and formatting are not preserved.
No, the tool supports image files only. PDF files need to be converted to images first.
OCR accuracy depends on image clarity and resolution. Higher quality images lead to more accurate text extraction.
Yes, the tool has multi-language support, automatically detecting and processing text in various languages.