OCR Image extraction tool
add-on
OCR Tesseract Add-on — extract text directly from images and turn it into usable data inside Blender. Faster workflows, smarter tools, zero friction.
🔍 OCR Tesseract Add-On
Full support: Blender 4.3 – 4.5 • Compatible UI down to 3.3
Platforms: Windows • macOS • Linux
Extract real, usable text directly from images inside Blender using the power of Tesseract OCR.
Demo video here: https://youtube.com/shorts/rI4F0fBlqJM
https://youtu.be/gKXk9vQ2b1k
✨ What This Add-On Does
OCR Tesseract Add-On allows you to scan images, screenshots, and references and instantly extract readable text inside Blender. Perfect for technical workflows, reference breakdowns, UI reconstruction, and data-driven pipelines — all without leaving the viewport.
**You will need to go to Preferences and follow these simple 3 steps
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Download Teserect IMPORTIANT (Choose your language(s))
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Use the auto loader or manually find the tesseract.exe file (HIT ENTER)
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Click install for the pyteseract modal. Go to OCR in the n panel
All of these processes require you to simply click a few buttons and then go to the N panel and load an image into the image field.
Next all you need to do is click read and then generate.
**What the addon produces will vary if the image/pdf or document is not clear, Enjoy! **
🧠 Core Features
🖼️ Image-Based Text Extraction
Pull text directly from PNG, JPG, and reference images.
🔠 Powered by Tesseract OCR
Industry-proven OCR engine integrated cleanly into Blender.
⚙️ Non-Destructive Workflow
Scan images without modifying or importing geometry.
🧩 Serpens-Friendly Architecture
Designed for node-based and automated workflows.
📄 Clean Text Output
Extracted text is ready for downstream use, scripting, or conversion.
🚀 Fast & Lightweight
No cloud calls, no external apps — everything runs locally.
🛠️ Typical Use Cases
📐 Rebuilding text from UI screenshots
🧾 Extracting specs or notes from reference images
🧠 Feeding OCR data into procedural or scripted systems
🎨 Rapid content reconstruction from visual references
📦 Installation
⚙️ Edit → Preferences → Extensions → Install from ZIP
📍 Access the add-on from the N-Panel once installed.