A focused OCR workspace for screenshots, receipts, slides, product labels, and scanned documents.Upload a screenshot, receipt, slide, poster, or scanned document and turn visible words into editable text. Built for fast OCR workflows with a cleaner interface than generic AI tools.
Drag, drop, or select an image to extract text
You can also paste an image with Ctrl/Cmd+V · Supports JPG, PNG, WebP, JPEG
Extracted text
A simple OCR workflow designed for users who want editable text fast, without digging through unrelated AI options.
Drop a local screenshot, scan, receipt, or social graphic into the tool, or load a direct image URL if the file already lives online.
Choose the language you want for OCR output. This helps when you need cleaner text formatting for multilingual images or downstream workflows.
Run OCR, inspect the output in plain-text or line mode, then copy it into your document editor or download it as a .txt file.
People rarely search for OCR in the abstract. They usually want to extract text from a very specific kind of image: a screenshot, a receipt, a label, a slide, a form, or a photographed document. These use cases reflect the most common real-world image-to-text jobs this page is built for.

Pull text from product screenshots, dashboards, mobile UI captures, chat windows, or web pages when copy-paste is blocked or inconvenient. This is especially useful for grabbing error messages, pricing tables, UI labels, settings text, or short passages from tools that don't expose clean text selection.

Turn photographed paperwork into editable text for bookkeeping, expense claims, research notes, reimbursement workflows, or manual record cleanup. This works well when you need to quickly reuse store names, dates, totals, line items, invoice numbers, or handwritten reminders without typing everything again.

Capture titles, bullet points, schedules, speaker names, venue details, dates, labels, field values, and contact info from posters, presentation slides, photographed forms, letters, handouts, and lightweight scanned documents. This is useful when the original file is missing and the only version you have is a photo, screenshot, or exported image that still contains text you need to edit, search, translate, summarize, or archive.
The experience is intentionally narrower: fewer controls, clearer OCR language, and less maintenance coupling with the general image describer.
The extraction flow uses its own API route and prompt design so OCR changes do not disturb caption, alt text, or other image-description behaviors.
Users see the upload panel immediately on page load, which matches the expectation set by popular OCR competitors.
Some users need a single text block, while others want OCR output split by lines for spreadsheets, forms, or manual review.
The result area is optimized for quick handoff into editors, docs, spreadsheets, or notes apps without extra formatting cleanup.
The first version is guest-friendly, while keeping code comments in place for future auth and usage limits.
FAQ, how-it-works, and use-case sections target OCR search intent directly instead of competing with broader AI image generation terms.
Quick answers for users comparing OCR tools or deciding whether this workflow fits their image type.
Open the OCR panel, load your file, and extract the copy in a format you can use immediately.