Upload an image or select a sample above to view preview
📋 Extracted Text
Accuracy: 95%
Scanning image pixels…0%
Characters: 0Words: 0Lines: 0
Export Text:
📖 Complete Guide
OCR Scanner Online
A fast, client-side Optical Character Recognition (OCR) engine that converts image pixels, scanned documents, phone photos, and receipts into editable digital text directly in your browser.
Optical Character Recognition analyzes the shapes, strokes, and glyph contours in an image and maps them into digital text characters. This eliminates manual typing and turns physical books, invoices, contracts, and screenshots into copyable, searchable text.
By utilizing browser-compiled WebAssembly (WASM) neural networks, ReducerImage delivers instant text recognition with 100% data privacy. Your sensitive documents never leave your computer or phone.
📊 OCR Matrix
Supported Languages & Document Classification
Overview of language models, scripts, and document recognition compatibility.
Document Type
Recommended Preprocessing
Supported Languages
Export Formats
📄 Scanned Documents
High Contrast, Deskew
English, Hindi, Spanish, French, German
TXT, DOCX, Clipboard
🧾 Receipts & Invoices
Binarization, 90° Rotation
English, European & Asian Currencies
TXT, CSV, Print
📱 Screenshots & Code
Raw Pixel Mapping (100% Scale)
Latin, Cyrillic, CJK Characters
TXT, Clipboard
🪪 ID Cards & Passports
Crop to MRZ Text Zone
Multi-Script Standard (ICAO 9303)
TXT, Plain Text
📖 Book Pages & Notes
Flatten Curve & High-Res Denoise
10+ Supported Global Languages
TXT, DOCX, CSV
Privacy Guarantee: 100% In-Browser Recognition
Unlike cloud OCR APIs that upload your private scans, tax receipts, or medical records to remote servers, ReducerImage uses client-side WebAssembly. All language models and character segmentation neural networks execute directly inside your local browser memory.
⚡ Recognition Pipeline
How the Client-Side OCR Engine Operates
Our character recognition pipeline runs through four synchronized stages:
Phase 1
📐
Binarization
Converts color pixels into an adaptive high-contrast black-and-white grid to separate glyphs from backgrounds.
Phase 2
🔍
Line & Word Slicing
Detects horizontal baseline text trajectories, bounding boxes, and inter-character spacing intervals.
Phase 3
🧠
Neural Classification
Passes glyph matrices through trained language models (Tesseract WASM) to identify Unicode characters.
Phase 4
📝
Text Synthesis
Assembles paragraphs, calculates confidence metrics, and populates the editable result textarea.
📋 Step-by-Step Guide
How to Extract Text from an Image in 8 Easy Steps
Follow these simple steps to digitize text from photos, documents, and screenshots.
1
Upload Image
Drag & drop or select your photo, screenshot, or document scan.
2
Paste Screenshot
Alternatively, paste any copied screen capture directly using Ctrl+V.
3
Select Language
Pick the document language (English, Hindi, Spanish, etc.).
4
Rotate if Needed
Use 'Rotate 90°' to ensure text is upright for maximum OCR accuracy.
5
Automatic Scan
The WebAssembly engine analyzes character shapes in real time.
6
Review & Edit
Proofread and edit recognized words directly inside the textarea.
7
Search & Replace
Quickly find terms or fix formatting anomalies across all lines.
8
Copy or Download
Click 'Copy Text' or save as a TXT, DOCX, or CSV file.
🧰 Free Utility Suite
Explore Related Document & Image Tools
Fast, browser-based document conversions, PDF utilities, and photo markup.
Answers to common questions about OCR text recognition, supported languages, and privacy.
OCR (Optical Character Recognition) is a technology that converts visible text patterns inside images, screenshots, scanned documents, or photos into machine-readable and editable digital text.
Upload or drag & drop your image into the drop zone, choose the language of the text (e.g. English, Hindi, Spanish), and click 'Scan Text'. The recognized text will appear in an editable text box.
Yes. You can upload photos taken with your phone, screenshots, receipts, or document scans in JPG, PNG, and WebP formats.
Yes. You can even paste screenshots directly from your clipboard by pressing Ctrl+V.
Yes. Scanned invoices, contracts, receipts, book pages, and ID cards can be digitized into text.
Our OCR engine supports over 10 languages including English, Hindi, Spanish, French, German, Italian, Portuguese, Chinese (Simplified), Japanese, Russian, and Arabic.
OCR works best on printed, typed, or clean digital text. Very neat handwriting may produce partial recognition, but printed text achieves the highest accuracy.
Yes. The extracted text appears in a fully editable textarea so you can make corrections, add notes, or search and replace words.
Yes. Click 'Copy Text' to copy the entire extracted or edited text to your clipboard with one click.
Yes. You can download the extracted text as a plain text (.txt) file, Word (.docx) document, or CSV.
No. The OCR process reads pixels in memory and leaves your original image file completely unaltered.
No. The OCR engine runs 100% locally inside your browser using WebAssembly (Tesseract.js). No files are uploaded to any external server.
