Image to Text Converter — Bulk OCR, 100% Private, No Upload

Why “just use an online OCR site” is the wrong answer

Most free online OCR services upload your image to their server, run Tesseract or a paid OCR API there, and return the text. That means a third party now has a copy of whatever you scanned — a receipt with your card's last four digits, a medical report, an ID document, a contract draft, a screenshot of a private DM. Many of those services explicitly reserve the right to retain or scan uploads in their terms. SimpleTool's OCR runs Tesseract.js — a WebAssembly build of the same Tesseract engine Google uses internally — directly in your browser tab. The image stays in RAM on your device. The extracted text stays in RAM on your device. Nothing is sent anywhere.

What this is good for

• Screenshots of error messages, code snippets, or terminal output you want to paste into a notes app
• Photos of receipts, invoices, or business cards before throwing the paper away
• Pages of textbooks, articles, or research papers you want to quote or annotate
• ID documents, passport scans, or medical reports you can't upload to a cloud OCR site
• Slides from a meeting or lecture you photographed instead of taking notes
• Bulk-OCR a folder of scanned pages into individual .txt files for your archive
• Foreign-language menus, signs, or product labels (19+ languages supported)

For tabular data — receipts that need vendor / date / amount columns, financial statements, structured forms — the PDF to Excel converter does table-aware extraction and writes a real .xlsx file. This tool gives you plain text; that one gives you a structured spreadsheet.

Tips for the best OCR accuracy

• 200+ DPI — phone photos at arm's length usually clear this; thumbnails do not
• High contrast — black text on white background is the gold standard. Faded receipts and gray-on-gray screenshots struggle
• Straight, not skewed — Tesseract handles small rotations but not heavily tilted snapshots. Crop and de-skew first if needed
• Clean, not crowded — crop out marketing chrome and decorations around the text
• Match the language — pick the right language pack. English-trained models do not read Japanese or Arabic well
• Stylised fonts struggle — handwriting, decorative fonts, and very small text below 8pt all hurt accuracy

How it compares — bulk, multi-language, or one-shot

Known limitations

• OCR is slow — typically 2–30 seconds per image depending on size and language. Bulk runs take time.
• The first run downloads the language pack (5–15 MB). Cached locally for subsequent runs.
• Tesseract is open-source and free, but it's not as accurate as paid commercial OCR services on hard inputs (handwriting, low-quality scans, complex layouts).
• Multi-column layouts may merge columns. Crop one column at a time for cleaner output.
• Image orientation matters — sideways photos give garbage. Rotate first.