우리에 대해
한국어
Recognize Handwritten Text on JPG Image
Quickly Recognize Handwritten Text on JPG Images Online
또는 파일을 끌어다 놓기
PDF 및 이미지 파일 형식 지원 (최대 100MB)
전 세계 수백만 명이 신뢰하는
4.4
G2에서 2,100개 이상의 리뷰
4.4
Capterra에서 8,200개 이상의 리뷰
4.4
앱 스토어에서 73,000개 이상의 리뷰
2.5억
등록된 사용자
50억
생성된 노트
200만
매일 생성된 노트
자주 묻는 질문
This tool helps you recognize handwritten text present in JPG images, making it easier to convert and process handwritten content digitally.
Currently, the tool doesn't support OCR to recognize handwritten text from JPG images. It's designed for annotation purposes.
Simply drag and drop your JPG file into the designated area on the webpage, or click 'Upload' to choose a file from your computer.
Yes, you can freely use the tool to upload and annotate images online. However, for text recognition, other specialized tools may be needed.
Yes, after adding annotations to your image, you can download the updated version. The annotations will be embedded into the image.
This tool supports popular image formats including JPG, PNG, and WEBP for annotation purposes.
Yes, the maximum file size you can upload is 100 MB. Larger files need to be reduced in size for processing.
Yes, the tool supports PDF annotation as well as image files. You can use various annotation tools across multipage PDFs.
No, the tool processes one file at a time. You need to complete and download one before starting another session.
No, this annotation tool is designed for desktop use only. Please use a desktop or laptop browser to access its features.
The tool does not currently support OCR, so extracting handwritten text is not possible. It focuses on providing annotation capabilities.
Upload your image, select the text annotation tool from the toolbar, and click on the image to add and customize your text.
You can add various annotations including text boxes, highlights, drawings, and geometric shapes such as arrows and circles.
Yes, if you're logged in, the tool allows you to save your annotated images directly to your Evernote account.
No, you cannot edit existing text within images. Annotations are added as overlays without altering the original image content.