gImageReader is a Gtk/Qt front-end to tesseract-ocr. It imports PDF documents and images from disk, scanning devices, clipboard and screenshots, can process multiple images and documents at once, and recognizes text as plain text or hOCR documents. Recognized text is shown next to the image and can be post-processed with spellchecking.
NormCap is an OCR-powered screenshot tool that captures text instead of images. It uses Tesseract language models for text detection and supports QR and barcode scanning. Detection is performed on the device and no telemetry data is collected. It is available for Windows, macOS and Linux and is licensed under GPLv3.
OCR.space is a hosted online OCR service that converts images and PDF documents into editable text and can create searchable PDF files. It is free to use without registration, accepts JPG, PNG, GIF and PDF files, and supports multi-page documents and multi-column text. The free tier limits files to 5MB per document, and uploaded files and extracted text are deleted immediately after processing.
2OCR is a free online OCR tool that converts images and PDF files into searchable PDF, PDF/A or text output. It accepts formats including jpg, png, tiff, bmp, heic, webp, pdf, doc and xls, requires no registration or email address, and supports multiple languages.
Capture2Text is a free, GPL-licensed Windows utility that OCRs a portion of the screen using a keyboard shortcut and saves the resulting text to the clipboard by default. It supports Windows 7, 8/8.1 and 10 and packages several OCR languages, with additional language dictionaries installable.
OCRTool.net is a free online OCR tool that extracts text from images, PDFs and screenshots using Mistral AI's OCR model. It supports JPG, PNG, WEBP, BMP, GIF and PDF files up to 20 MB per file, with multi-language recognition and layout-aware conversion. No signup is required, no watermarks are added, and files and extracted text are not stored.
Project Naptha is a browser-based tool that applies computer vision algorithms to images on web pages so text inside them can be highlighted, copied, edited and translated. The project page is a live demo showing text selection over words in an image. It was made by Kevin Kwok and Guillermo Webster.
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NormCap is an OCR-powered screenshot tool that captures text instead of images. It uses Tesseract language models for text detection and supports QR and barcode scanning. Detection is performed on the device and no telemetry data is collected. It is available for Windows, macOS and Linux and is licensed under GPLv3.
OCR.space is a hosted online OCR service that converts images and PDF documents into editable text and can create searchable PDF files. It is free to use without registration, accepts JPG, PNG, GIF and PDF files, and supports multi-page documents and multi-column text. The free tier limits files to 5MB per document, and uploaded files and extracted text are deleted immediately after processing.
2OCR is a free online OCR tool that converts images and PDF files into searchable PDF, PDF/A or text output. It accepts formats including jpg, png, tiff, bmp, heic, webp, pdf, doc and xls, requires no registration or email address, and supports multiple languages.
Capture2Text is a free, GPL-licensed Windows utility that OCRs a portion of the screen using a keyboard shortcut and saves the resulting text to the clipboard by default. It supports Windows 7, 8/8.1 and 10 and packages several OCR languages, with additional language dictionaries installable.
OCRTool.net is a free online OCR tool that extracts text from images, PDFs and screenshots using Mistral AI's OCR model. It supports JPG, PNG, WEBP, BMP, GIF and PDF files up to 20 MB per file, with multi-language recognition and layout-aware conversion. No signup is required, no watermarks are added, and files and extracted text are not stored.
Project Naptha is a browser-based tool that applies computer vision algorithms to images on web pages so text inside them can be highlighted, copied, edited and translated. The project page is a live demo showing text selection over words in an image. It was made by Kevin Kwok and Guillermo Webster.
