Upload an image
Drop a PNG, JPG, WEBP, BMP, or TIFF file into the left panel, up to 10 MB. Scans, photos, and screenshots are supported.
Optical character recognition
Upload a document in the left panel and get editable recognized text on the right with line numbers, one-click export, and quick editing. Images up to 10 MB.
The recognized text will appear here after the file has been processed
Tip: Ctrl + Enter — start recognition for the selected file.
Ctrl + V — paste an image from the clipboard.
From upload to editable text, the whole process takes less than a minute and does not require installing software.
Drop a PNG, JPG, WEBP, BMP, or TIFF file into the left panel, up to 10 MB. Scans, photos, and screenshots are supported.
Click the recognition button or press Ctrl+Enter. The document is processed on the server in a few seconds.
Recognized text opens in an editor with line numbers, so you can fix mistakes right away.
Copy the result to the clipboard with one button or download it as a TXT file for later use.
Mixed Russian-English documents can be recognized without switching modes, including clear handwritten notes.
Tables, columns, lists, and paragraphs are restored instead of being merged into one block of text.
Your document is processed in an isolated workflow and removed right after the result is returned.
Pereum helps digitize text from any image, from document scans to photos of a screen.
Turn scanned legal and personal documents into text for forms, databases, or archiving.
Recognize tabular data from photos and PDFs, preserving columns and rows for pasting into Excel.
Upload several pages in one session and combine the result into a single numbered text file.
Recognize text from a screen or photo and copy it to the clipboard with one button, without manual typing.
Recognize text in Russian, English, and other languages. Ideal for digitizing foreign books, manuals, interfaces, and menus.
PNG, JPG, WEBP, BMP, and TIFF images up to 10 MB. These limits match the current production recognition API.
Accuracy depends on the source image quality. For printed documents, use even lighting, avoid glare, and upload a sufficiently high-resolution image.
Yes. Recognized text opens in an editor with line numbers, so you can fix it, copy it to the clipboard, or download it as a TXT file.
Files are sent to the backend only for recognition. For signed-in users, the text result may also appear in recognition history.
Handwritten notes can be recognized inside mixed documents, but accuracy is lower than with printed text and depends on handwriting clarity.
The current version processes one file at a time. Batch recognition for multiple files is in development.
No, recognition is available without registration. An account is only needed for recognition history and advanced features.
Yes, Pereum provides a REST API for text recognition. Details are available on the API page with documentation, request examples, and authorization code.