Scan Documents on MacOS
About us
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AI powered
Scan Documents on MacOS
Convert Document Images to Text on MacOS with Ease
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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Frequently Asked Questions
The tool extracts text from images using Optical Character Recognition (OCR) technology. It converts different image types, like photos and scans, into readable text.
To scan a document on MacOS, take a photo or scan your document and upload it to our OCR tool. The text will be extracted for you to copy or download.
You can upload images in formats such as JPG, PNG, GIF, BMP, WebP, and TIFF. The maximum file size allowed is 100 MB per image.
Yes, you can upload screenshots taken on MacOS to the OCR tool to extract text. Supported formats include PNG and JPG.
Take pictures of book pages and upload them to our tool. The OCR technology will extract the text, which you can then download or save.
No app required. Our OCR tool is browser-based, allowing you to upload images and perform text conversion directly from any web browser.
The OCR tool can recognize handwritten text, though the accuracy may depend on the handwriting quality. Results may vary.
You can upload scanned images from any network scanner to the tool. Ensure the files are in a supported format like JPG or PNG.
Yes, after extracting text, you can save it directly to Evernote. Just log in to your Evernote account from the tool to save your text.
No, the tool cannot process PDF files directly. You need to convert PDF pages to images or take screenshots to extract text.
You can upload image files up to 100 MB each. Files larger than this need to be reduced in size for processing.
No, the tool only extracts plain text. Any formatting, layout, or tables within the image will not be preserved.
Yes, you can upload multiple images, and the tool will process them in sequence, combining the extracted text.
No, an internet connection is necessary as all OCR processing is done online. Extracted text can be downloaded for offline use.
Use high-resolution, clear images and ensure the text is not obscured. Better quality images lead to more accurate text extraction.