Scan to Text on PC
About us
English
AI powered
Scan to Text on PC
Transform Images to Text on Your PC 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.
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
Upload your image to the online tool and let OCR technology extract the text. Once processed, you can copy or download it.
You can upload various formats such as JPG, PNG, GIF, and TIFF with a maximum file size of 100 MB.
Yes, the tool provides plain text output, which you can copy, edit, or download, but it does not preserve original formatting.
Yes, it can recognize handwritten text, but accuracy may vary depending on the handwriting quality.
Convert PDF pages to images or take screenshots, then upload these images to extract text using the tool.
Yes, the tool supports multiple languages and can automatically detect the language in the uploaded image.
Yes, uploading multiple images is supported. Text from all images will be combined into one output.
Yes, the tool can be used for free, allowing you to convert images to text right in your browser without any downloads.
Yes, you can save the extracted text to Evernote if you are logged in to your account.
No, an internet connection is needed as all processing occurs online. However, you can download the text for offline use.
Each image file uploaded must not exceed 100 MB. For best results, ensure high-quality and high-resolution images.
No, the tool outputs plain text and does not retain layout, formatting, or tables present in the original document.
Simply upload the photo to the tool; OCR technology will extract the text, which you can then download, copy, or save.
Yes, the tool can handle images that are rotated, automatically correcting them during preprocessing for text extraction.
Handwriting recognition is supported, but its accuracy depends on the clarity and style of the handwriting in the image.