Document Scanner App for Researchers (Clinical Trials)
About us
English
AI powered
Document Scanner App for Researchers (Clinical Trials)
Digitize Text with Our Clinical Trials Scanner App for Researchers
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
The app uses OCR technology to extract text from images, aiding researchers in digitizing clinical trial documents, receipts, and handwritten notes.
Drag and drop your image files or select them from your device. Supported formats include JPG, PNG, TIFF, and more, up to 100 MB each.
The app supports JPEG, PNG, GIF, BMP, WebP, TIFF, ICO, and more for OCR processing, making it versatile for various research documents.
OCR converts image-based text into digital text, facilitating easier data analysis and archiving in clinical trials and research studies.
Yes, the maximum file size for each image is 100 MB, allowing researchers to upload high-resolution documents for better OCR results.
Yes, the app can recognize and convert handwritten text, though handwriting quality can affect accuracy. It's useful for clinical notes and observations.
Yes, access the tool via a browser on mobile or desktop. There's no need for additional apps, making it convenient for researchers on the go.
It gives a plain text output, perfect for editing and analysis. You can copy the text, download it as a file, or save it to Evernote.
Yes, after logging in, you can directly save the extracted text to your Evernote account, ensuring easy access and organization of research data.
No, the app only processes images. Convert PDF pages into images or take screenshots, then upload those for text extraction.
No, the app extracts plain text only, without preserving any formatting or page layout, which suits raw data needs in research.
Yes, the tool supports automatic language detection and multi-language OCR, making it versatile for international clinical research.
Once extraction is done, view the full text on the platform. You can then copy it, download it, or save it to online platforms like Evernote.
Yes, higher resolution images yield better results. Clear, high-quality images are recommended for accurate text extraction.
No, an internet connection is required for OCR processing. After extraction, download the text for offline use in your research.