Note: ผมทำอีกโปรเจคอยู่ เดี๋ยวกลับมาอัพเดตแก้ปัญหาที่มีอยู่ครับ มันต้องไปแก้ตั้งแต่การแกะโครงสร้างเวลา ai แปลเลยต้องรอให้ว่างจริงๆ อัพเดตรอบต่อไปจะใช้ claude ai โค๊ดขยะน่าจะน้อยลงและเป็นมิตรกับระบบมากขึ้น

✨ TextPhantomOCR Overlay

📥 Download & Install Options

Version	Extension Download	API Download	Note
Chrome Web Store			Easiest option, but still requires API
v3.0.0			Manual install
v2.0.2			Manual install
v1.0.1			Manual install

🧩 1. Extension Installation

Option – Chrome Web Store

1. Install from Chrome Web Store.

Option – Manual Install

1. Download and extract the Source Code for your version.
2. Open Chrome → Go to chrome://extensions/.
3. Enable Developer Mode (top right).
4. Click Load unpacked.
5. Select the extracted folder.

🌐 2. Using the API on Hugging Face (Run API for v3.0.0)

1. Go to: https://huggingface.co/spaces/plan291037/TextPhantom_OCR_API2/tree/main
2. Click the three dots in the top-right and select Duplicate this Space.
3. The build will start automatically — wait until you see Running.
4. Click the three dots again and choose Embed this Space.
5. Copy the link and use it in your API extension.

Notes:

• If unused, the Space will shut down automatically within 48 hours.
• To stop it manually, go to Settings and click the small Pause Space link.
• This API works only in images mode.

🖱️ 3. Getting Started with the Extension

• Navigate to the page you want to translate.
• Right-click anywhere → choose 🔍 Translate... from the context menu.

🤖 Free AI Option (Hugging Face – Google Gemma)

TextPhantom can use Google Gemma models via Hugging Face.
This option is free to start (you use your own Hugging Face API key).

Step 1: Enable Access to Gemma Model

Google Gemma models require accepting a license before use.

1. Log in to Hugging Face
   https://huggingface.co/login

2. Open the model page
   https://huggingface.co/google/gemma-3-27b-it

3. Click “Agree and access” (or “Request access”)

4. Wait for approval (usually a few minutes)

You only need to do this once per account.

Step 2: Create a Hugging Face API Key

This API key will be used by TextPhantom to call the AI model.

1. Go to
   https://huggingface.co/settings/tokens

2. Click New token

3. Set:

   • Name: textphantom-ai
   • Role: Read

4. Create the token and copy it

5. Required Token Permissions When creating your Hugging Face API key, make sure the following permissions are enabled:

• ✅ Read access to contents of all public gated repos you can access
  Required to use gated models such as Google Gemma.

🖼️ DEMO / UI PREVIEW