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AI powered
OCR for Professionals
Enhance Your Workflow with Professional OCR Solutions
or drag and drop a file
Supports all image, video and audio formats, up to 100MB and 1 hour recording
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Frequently Asked Questions
OCR stands for Optical Character Recognition. It extracts text from images, such as scans and photos, allowing for easier text digitization and management.
Simply upload your image file using supported formats like JPG or PNG. The tool processes the image to extract the text, which you can then copy or download.
You can use common formats like JPG, PNG, GIF, and TIFF. Each image must be under 100 MB for successful processing.
Yes, but results may vary. The tool can recognize some handwritten text, though clear, high-quality handwriting yields the best outcomes.
Yes, the tool is browser-based, allowing you to upload images from any device, including mobile phones and tablets.
No, it provides plain text output only. Formatting, tables, and layout are not retained in the extracted text.
Take a photo of the page and upload the image file. OCR will extract the text for you to copy, download, or save to Evernote.
Yes, upload images of business cards to extract contact info and text. This assists in digital organizing and storage.
Certainly, logged-in users can save extracted text directly to Evernote, making it easy to integrate into your digital note-taking.
Yes, individual image files can be up to 100 MB. Larger files will need to be resized or split before uploading.
The tool automatically pre-processes images, handling rotations so that text is correctly oriented for extraction.
The tool works directly with image files. For PDFs, convert pages into images or take screenshots and then upload them.
No download is needed. The OCR process is completed online through your web browser, suitable for various platforms.
Use clear, high-resolution images to improve text accuracy. Proper lighting and focus during image capture also help.
Yes, OCR processing occurs online, requiring an internet connection to upload images and receive the extracted text.