OCR Accuracy Showcase
We measure layout recovery down to the pixel and character recognition down to individual symbols. Explore our performance metrics and user guidelines.
Character Accuracy
Recognizes printed fonts, standard symbols, weights, and weights across major language layouts without missing punctuation.
Layout Recovery
Identifies multi-column structures, aligned sidebars, text indents, headings, and custom paragraph margins perfectly.
Table Grid Mapping
Reconstructs row-column borders, cell alignments, headers, and spacing inside fully editable Word table components.
How Convert JPG to Word Compares
Traditional OCR engines look at letters individually. Convert JPG to Word uses context-aware models to understand the entire document layout.
| Feature | Standard OCR Tools | Convert JPG to Word AI Converter |
|---|---|---|
| Paragraph Wrapping | Hard line breaks at every line end | Continuous flowing paragraphs |
| Tables & Borders | Converts tables into broken text lines | Creates native, editable Word tables |
| Column Recognition | Reads straight across columns (jumbled text) | Follows multi-column reading orders |
| Font Styles | Forces everything into default Times New Roman | Preserves bold, italics, sizes, and colors |
| Handwriting Support | Fails or returns garbled characters | Transcribes clean handwriting with 95%+ accuracy |
Tips to Maximize OCR Accuracy
1. Lighting & Contrast
Avoid harsh shadows, camera glare, and uneven desk lighting. A flat, uniformly lit scan returns the highest character transcription rate.
2. Keep It Sharp
Ensure the document is fully in focus. Blurry camera shots or movement warp character edges, causing identification issues.
3. Scan Angle
Although our pipeline corrects minor rotations, scanning or photographing documents straight-on delivers the cleanest structural alignment.
4. Minimum Resolution
For fine print, use images with at least 150 DPI. We recommend 300 DPI or higher for complex technical files or spreadsheets.