OCR for Loan Applications
About us
English
AI powered
OCR for Loan Applications
Digitize Loan Documents 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.
Trusted by Millions Worldwide
4.4
2,100+ reviews on G2
4.4
8,200+ reviews on Capterra
4.4
73,000+ reviews on App Store
248M
Registered Users
5B
Notes Created
2M
Notes Created Daily
Frequently Asked Questions
The OCR tool extracts text from images using Optical Character Recognition. It helps in digitizing loan applications, making them easily accessible and editable.
To upload your loan document image, simply drag and drop the file or click to browse and select the image from your device. Ensure your file is in a supported format like JPG or PNG.
You can upload images in various formats such as JPG, PNG, GIF, BMP, TIFF, and more. Each file should not exceed 100 MB.
OCR converts your loan document images into text, making them easier to store, edit, and share digitally. This is especially useful for promissory notes and co-signed personal loans.
Yes, by uploading an image of your promissory note to the OCR tool, you can convert it into editable plain text. This makes managing loan documents more efficient.
The tool recognizes both printed and handwritten text, although handwriting accuracy can vary based on quality.
Yes, after processing the text from your loan documents, you can save it directly to Evernote, provided you are logged in.
No, OCR provides plain text extraction only. Layouts, tables, and specific formatting will not be preserved.
Yes, each image file you upload should not exceed 100 MB for optimal processing and results.
Yes, you can upload scanned images of your loan documents for text extraction. High-resolution scans ensure better accuracy.
You'll need an internet connection to process images via OCR. The service itself is cloud-based, requiring online access for functionality.
No, the tool cannot process PDFs directly. You must convert the PDF pages into images before uploading them for OCR text extraction.
Yes, the OCR tool is accessible via a browser, making it easy to use on mobile devices for scanning on-the-go.
While the OCR tool can handle handwritten text, poorly written text may result in lower accuracy of extraction. Clear, high-quality images yield better results.
After processing, you can easily download the extracted plain text file to your device or copy it to your clipboard for further use.