OCR for Credit Card Statements
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AI powered
OCR for Credit Card Statements
Extract Text from Credit Card Statements with OCR
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.
Trusted by Millions Worldwide
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4.4
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248M
Registered Users
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Notes Created
2M
Notes Created Daily
Frequently Asked Questions
Upload an image of your credit card statement file. The tool utilizes OCR technology to extract text, which can then be copied, downloaded, or saved to Evernote.
You can use common image formats like JPG, PNG, GIF, BMP, and TIFF. Make sure the file size is under 100 MB for optimal processing.
Yes, you can upload scans of credit card statements. The OCR process will recognize and extract the text from the scanned image.
Yes, you can use OCR credit card statement services for free. However, logged-in users enjoy full access to functions like download and Evernote save.
The tool can recognize handwritten text, but accuracy may vary depending on the clarity and quality of the handwriting in the image.
The OCR tool processes image files only. Convert PDF pages to images before uploading, or take screenshots for extraction.
Yes, your extracted text comes as plain, editable text. Just copy the text or download it for further editing.
After extraction, you can copy the text, download it as a file, or save it to Evernote if you are logged in.
Yes, each image file should be no larger than 100 MB to ensure a smooth OCR process.
No, the extracted text will be plain and unformatted. Any original document layout will not be preserved.
Yes, the tool supports automatic language detection and can process multiple languages from images.
Upload your statement images through the browser. The tool executes text extraction online without needing additional software.
No, an internet connection is necessary for processing as the tool functions entirely online.
You can upload multiple image files, but they will be processed sequentially, not simultaneously.
Clear, high-quality images yield the best results. Blurry or low-resolution images may lead to less accurate text extraction.