OCR for Boarding Passes
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AI powered
OCR for Boarding Passes
Effortless Text Extraction from Boarding Passes Using OCR
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 for boarding passes uses Optical Character Recognition to convert images of boarding passes into plain text, ensuring quick access and processing of travel data.
Simply upload the image of your boarding pass to the tool. The OCR technology will extract the text, which you can then view, copy, or download as a text file.
The tool supports formats such as JPG, PNG, BMP, TIFF, and more, perfect for scanning boarding passes. Each image file can be up to 100 MB.
Yes, the tool can recognize and extract both printed and handwritten text. However, handwriting quality may impact accuracy.
Yes, each image can be a maximum of 100 MB, which is typically sufficient for high-resolution boarding pass scans.
No, the tool does not process PDF files directly. Convert your PDF pages into images first, then upload them for text extraction.
No, the OCR tool requires an internet connection as all text extraction occurs online. You can download the results for offline use afterward.
Yes, after text extraction, you can save the results directly to your Evernote account, but you need to be logged in to your account.
The extracted text is plain text only, meaning no formatting, layout, or tables are preserved from the original boarding pass image.
Yes, as it's a browser-based tool, you can access it from any device with internet access, be it mobile or desktop.
Yes, the OCR tool features automatic language detection and supports text extraction in multiple languages, aiding diverse travel needs.
You can upload multiple boarding passes, but they will be processed one at a time. Extracted text is combined for convenience.
No, the OCR tool provides plain text output only. The original layout and formatting on boarding passes are not preserved.
Yes, the tool automatically preprocesses and corrects orientation, so it can handle rotated boarding pass images effectively.
Accuracy depends on image quality. For best results, use high-resolution images with clear text. Handwritten sections may vary in recognition.