ScanRead.ai is a web-based OCR tool for extracting text from images and documents. It accepts photos, screenshots, PDFs, and clipboard paste, then returns copyable, editable text in seconds. The site presents it as free to use, with no signup needed for basic use and a free account tier that allows 20 pages per day.
Its stated capabilities include text extraction from photos of documents, receipts, pages, handwritten notes, scanned PDFs, and screenshots. The output can be copied, downloaded, or shared by link. It also says scanned PDFs can be made searchable and copyable, and that multi-page documents can be processed in one go. The page lists specific use cases such as expense tracking, contracts and letters, books and articles, error messages, code snippets, and web content.
ScanRead.ai says it supports more than 100 languages and handles handwriting, including cursive and print. The site also lists several related tools and tasks, including Image to Text, PDF to Word, Handwriting to Text, Screenshot to Text, Picture to Text, Copy Text from Image, Arabic OCR, Japanese OCR, Chinese Character Recognition, Math to LaTeX, and Receipt OCR. It is accessible through the ScanRead.ai website, which includes Upload, Batch, Pricing, Log in, and Sign up free links, and it notes simple, transparent pricing with a free forever model and paid upgrades for higher use.
In the Image editing space, Extract text from any image or document free takes a focused approach. Quickly converting images, screenshots, and scanned documents into editable text without manual transcription. Extract text from any image or document free is a consumer product aimed at students, professionals, and anyone needing text extraction from images. There is a free tier. It runs on the web.
Behind Extract text from any image or document free is ScanRead.ai, and it first shipped in 2024. Among its 5 catalogued features are OCR extraction, batch processing, and multi-language support. The interface is available in 22 languages, including Arabic, Bangla, and Czech.
Summary written by a language model from the project’s public pages.
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