OCR for Researchers (Clinical Trials)
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AI powered
OCR for Researchers (Clinical Trials)
Efficient Text Extraction for Clinical Trials with 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
The OCR tool extracts text from images, including both printed and handwritten text, making it easier for researchers to digitize documents for clinical trials.
You can upload images by dragging and dropping them into the upload area or by selecting images from your device. The tool supports multiple image file formats including JPG and PNG.
Each image file can be up to 100 MB. It's ideal to upload high-resolution images for the best text extraction results.
Yes, you can upload images of clinical research documents, such as pages from research papers, to extract the text for analysis or documentation purposes.
The tool supports formats such as JPG, PNG, GIF, BMP, WebP, TIFF, and more, making it versatile for different types of clinical trial documentation.
Yes, the OCR tool can recognize handwritten text, though the accuracy may vary based on the quality of the handwriting.
No, the tool provides plain text output only. The layout or formatting from the original document is not preserved.
The tool does not process PDF files directly. You would need to convert PDF pages into image files or take screenshots, then upload those images.
After processing, you can view the full extracted text, copy it to your clipboard, download it as a text file, or save it to Evernote if you are logged in.
No, an internet connection is required as all OCR processing occurs online. The tool is browser-based and doesn't require app downloads.
Yes, the OCR tool supports automatic language detection and can process text in multiple languages, which is beneficial for international research papers.
The tool does not offer in-app editing for extracted text. You can copy the text into a word processor for further editing or formatting.
You can use scanned images, photos of printed research documents, or screenshots related to clinical trials to extract text for further analysis.
The accuracy depends on the image quality. Clear, high-resolution images yield the best results, crucial for detailed clinical research.
The OCR tool assists researchers by converting clinical trial images into text, saving time and effort in manual transcription, and aiding in data documentation and analysis.