Scan Documents on Pixel
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AI powered
Scan Documents on Pixel
Convert Scanned Documents on Pixel 9 Pro to Text Easily
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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Notes Created Daily
Frequently Asked Questions
OCR technology scans your uploaded images, recognizing and extracting text to convert images like photos or scans into plain text.
Supported formats include JPEG, PNG, GIF, BMP, WebP, and TIFF, ideal for a range of common image uploads from your device.
Yes, you can use a document camera to capture images, then upload them to the platform for text extraction using OCR.
On your Pixel 9 Pro, select images from your gallery or use the camera app to scan documents and then upload them to the platform.
The maximum file size allowed is 100 MB per image, allowing for high-resolution images to ensure better OCR accuracy.
The OCR tool can extract handwriting, but accuracy may vary depending on the clarity and style of the handwriting.
No, the text is extracted as plain text without formatting. For layout or table preservation, text needs to be manually formatted afterwards.
The process is entirely online and requires an internet connection as all OCR processing happens on the server.
No, PDFs cannot be uploaded directly. Convert PDF pages to image files or take screenshots before uploading.
Once text is extracted, you can copy it to your clipboard, download it as a text file, or save it directly to Evernote if logged in.
Yes, images captured from a 4K document camera can be uploaded provided the file size is within the 100 MB limit.
You can use the service for free, with logged-in users experiencing additional features like full access to results and more.
Upload clear scans or photos of documents like receipts, business cards, and notes where text is the main focus.
Yes, use your computer's camera to capture document images and upload them for OCR processing to extract text.
Yes, high-quality, clear images yield the best OCR results, minimizing text recognition errors.