Image to Text (OCR) — Extract Text from Photos
Extract text from images and scanned documents.
OCR — pulling text out of images and scans — used to require a downloaded app or a paid web service. Dropvert runs Tesseract.js (a WebAssembly port of the open-source Tesseract OCR engine) in your browser, with support for 15+ languages, batch input, and direct download of the extracted text.
How it works
3-step walkthrough
How it works
3-step walkthrough
- 1
Drop a photo, screenshot, or scan
JPEG, PNG, WebP. Dropvert handles single images and batches of up to 20.
- 2
Pick the source language
English, Spanish, French, German, Portuguese, Italian, Dutch, Russian, Polish, Turkish, Hindi, plus Chinese (Simplified), Japanese, Korean, and Arabic. Single-language at a time gives best accuracy.
- 3
Extract — copy or download as .txt
Dropvert shows the extracted text alongside a confidence percentage. Copy to clipboard or download as a .txt file. Batches are bundled into a zip with one .txt per source image.
Why use Dropvert
Local-first, free, no upload required
Why use Dropvert
Local-first, free, no upload required
- 15+ languages including Arabic, Chinese, Japanese, Korean, Russian, Hindi.
- Confidence score reported with each extraction so you know how much to trust it.
- Batch mode: extract text from up to 20 images at once.
- Output as plain .txt, ready to paste into any document or pipe into another tool.
- Free, no signup, runs locally in your browser.
Frequently asked questions
6 answered
Frequently asked questions
6 answered
- How accurate is OCR?
- On clean printed text in a supported language, accuracy is 95%+ — usable as-is. On photos of text at angles or in poor lighting, 80–90% — usually faster to fix typos than retype. On handwriting: poor (Tesseract isn't designed for handwriting). Always proof the output for important content.
- Why pick the language manually?
- Tesseract is much more accurate when it knows what alphabet and language to expect. Multi-language pages are possible (load more than one model) but every model loaded slows OCR proportionally — single-language is the fastest, most accurate path.
- Does it work on handwriting?
- Not reliably. Tesseract is a printed-text OCR; handwriting recognition needs a different model entirely. For handwriting, dedicated tools like Google Lens or Apple's Live Text on iOS perform better.
- How big can the source image be?
- Practically up to ~50 MP — Tesseract scales the source down internally for performance. For best accuracy, give it a sharp image at 300 DPI or higher; for speed, 150 DPI is fine.
- Will table structure be preserved?
- Tesseract outputs plain text reading order — top-to-bottom, left-to-right. Tables flatten into space-separated rows. For real table extraction (cells with proper structure), a dedicated table-OCR tool is better.
- Is the extracted text sent to any server?
- No. The Tesseract WASM and language model load once into your browser; subsequent extractions are local. The text we display is the same text written to your clipboard or download — never sent to us.
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