이미지에서 무료로 온라인에서 텍스트 추출하는 방법 — OCR
빠른 답변:
easytools24의 OCR 도구로 어떤 이미지에서든 무료로 텍스트를 추출할 수 있습니다. 사진, 스크린샷 또는 스캔 문서를 업로드하면 도구가 모든 편집 가능한 텍스트를 인식하고 추출합니다. Tesseract.js를 사용하여 모든 처리는 브라우저에서 완료됩니다.
준비되셨나요 텍스트 추출(ocr)? 무료 도구를 사용하세요 텍스트 추출(OCR) — 업로드가 필요 없습니다.
텍스트 추출(OCR) 무료 체험 →가입 불필요 · 워터마크 없음 · 파일이 기기에 유지됩니다
What Is OCR?
OCR (Optical Character Recognition) is a technology that reads text from images. It analyzes the shapes and patterns in a photograph or scan and converts them into machine-readable text that you can copy, edit, search, and paste.
Modern OCR engines like tesseract.js can recognize text in dozens of languages, handle various fonts, and process images of different quality levels. The technology works on photos, screenshots, scanned documents, handwritten notes, and more.
Why Extract Text from Images?
Image-to-text conversion solves everyday problems:
1. Digitize Printed Documents
Photograph a printed page, receipt, or form and extract the text for digital storage. This eliminates manual typing and creates searchable, editable records from physical documents.
2. Copy Text from Screenshots
When you see text in an image, error message, or screenshot that you cannot select, OCR extracts it for you. This is especially useful for text embedded in UI designs, charts, and infographics.
3. Translate Foreign Text
Photograph text in a foreign language, extract it with OCR, and paste it into a translation tool. This is faster and more accurate than typing unfamiliar characters manually.
4. Process Business Cards and Receipts
Extract contact information from business cards or expense data from receipts. OCR converts this information into text you can paste into spreadsheets, contacts, or expense reports.
How to Extract Text from an Image — Step-by-Step Guide
Convert image text to editable text in seconds:
Step 1: Open the OCR Tool
Navigate to the Extract Text (OCR) tool in any browser. No installation, plugin, or registration required.
Step 2: Add Your Image
Drag and drop your image — a photo, screenshot, scan, or any image with text — into the tool. Supported formats include JPEG, PNG, WebP, BMP, and more.
Step 3: Extract the Text
The OCR engine (tesseract.js) analyzes your image and identifies all readable text. Processing happens entirely in your browser — the image never leaves your device.
Step 4: Copy and Use
The extracted text appears in an editable text area. Copy it to your clipboard and paste it anywhere — word processors, emails, spreadsheets, or translation tools.
Tips for Better OCR Results
Use Clear, High-Resolution Images
OCR accuracy depends heavily on image quality. Use well-lit, focused photos with at least 300 DPI for printed documents. Blurry or low-resolution images produce lower accuracy.
Straighten the Image
Text at an angle or perspective is harder for OCR to read. Straighten your document or photo as much as possible before processing for the best results.
Maximize Contrast
Dark text on a white background produces the best OCR results. If your image has poor contrast, adjusting brightness and contrast before OCR can improve accuracy.
Common Use Cases
OCR text extraction is used by:
- Students extracting text from textbook photos and lecture slides
- Office workers digitizing printed documents and forms
- Developers extracting text from UI screenshots for documentation
- Travelers reading foreign language signs and menus
- Accountants processing receipts and invoices
- Researchers extracting data from scanned papers and charts
자주 묻는 질문
How accurate is the OCR text extraction?+
What languages does the OCR support?+
Is my image uploaded when using OCR?+
Can I extract text from handwritten notes?+
관련 가이드
PDF에 무료로 온라인에서 OCR 적용하는 방법
PDF에 무료로 온라인에서 OCR 적용. 브라우저에서 스캔 PDF를 검색 가능한 텍스트로 변환.
가이드 읽기 →PDF에서 무료로 텍스트 추출하는 방법 — 스캔 PDF OCR
PDF에서 무료로 텍스트 추출. OCR을 사용하여 브라우저에서 스캔 PDF를 편집 가능한 텍스트로 변환.
가이드 읽기 →이미지 온라인 무료 압축 — JPEG, PNG, WebP
파일 업로드 없이 이미지를 무료로 온라인 압축. 브라우저에서 JPEG, PNG, WebP 크기 줄이기.
가이드 읽기 →