andrisgauracs

andrisgauracs / interfaze_ocr_viewer

Public

A Web Viewer To Visualize OCR Results Produced By https://interfaze.ai

13
2
80% credibility
Found May 17, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

OCR Viewer is a free tool that helps you see the results of automatic text recognition overlaid directly on your PDF documents. You simply load your PDF and its corresponding OCR data file, and the viewer displays colorful boxes around each detected word and line. Green means the text was read confidently, yellow means some uncertainty, and red flags areas that might need attention. You can zoom in and out, switch between viewing individual words or complete lines, and hover over any box to see the exact recognized text and its confidence score. It's designed specifically to work with OCR output from interfaze.ai.

How It Works

1
📄 You have PDFs with text you want to see recognized

You've scanned documents or have PDFs where you need to check how well the text was automatically read.

2
🔍 You find OCR results that need visualizing

You've used a service to automatically read the text from your PDFs, and now you want to see where it found each word.

3
📥 You download the OCR Viewer

You grab the free tool and put it in a folder on your computer alongside your PDF and OCR files.

4
🚀 You start the viewer with one click

A simple command opens the viewer in your web browser, ready to go.

5
👁️ Your document comes alive with colorful boxes

The viewer shows your PDF with colored boxes highlighting exactly where each word and line was detected.

6
🎨 You explore with confidence colors

Green boxes show confident reads, yellow shows uncertain ones, and red flags areas that might need another look.

7
You choose how to view the text
🔎
Zoom to inspect details

You zoom from 50% to 300% to examine tricky areas up close.

📝
Switch between word and line view

You toggle between seeing each word separately or grouped by lines.

✅ You can see and verify all the recognized text

Hovering over any box shows you the exact text that was read and how confident the system was.

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AI-Generated Review

What is interfaze_ocr_viewer?

This is a browser-based tool for visualizing OCR results on PDF documents. You upload a PDF and its corresponding JSON file from interfaze.ai, and the viewer renders the document page-by-page with bounding boxes overlaid on detected text. It color-codes these boxes by confidence level—green for high confidence, yellow for medium, red for low—and shows the recognized text and accuracy score when you hover over any box. The viewer supports switching between line-level and word-level detection, with zoom ranging from 50% to 300%. Built entirely in HTML with no build step required.

Why is it gaining traction?

The main appeal is simplicity. Unlike full-featured document processing platforms, this does one thing well—it lets you visually verify OCR output before committing to downstream processing. The confidence color-coding is genuinely useful for spotting problem areas in scanned documents. It runs entirely in the browser after starting a basic Python HTTP server, so no deployment complexity. The JSON format is straightforward and documented clearly in the README.

Who should use this?

This is for developers integrating interfaze.ai into document processing pipelines who need to validate OCR quality. QA teams checking scanned document accuracy will find it useful. It's less suited for end users—there's no batch processing, and you need to understand the interfaze.ai JSON format to use it effectively.

Verdict

At 13 stars with a credibility score of 0.8%, this is a niche utility from an unknown author. The functionality is solid for what it does, but the low community visibility means limited testing and no guarantee of long-term maintenance. Consider it a helpful debugging tool rather than production infrastructure. If you're already using interfaze.ai and need to visually inspect OCR results, this saves you building your own viewer. Otherwise, look for more established alternatives.

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