Advanced OCR technology for Chinese text recognition and analysis
Transform scanned Chinese books into searchable, interactive digital texts with character-level precision
View original scans alongside recognized text for seamless comparison
Click any character to highlight its exact position in the original scan
Group multiple books into projects for better organization and workflow
Advanced recognition technology for both classical and modern Chinese texts
Upload your Chinese books in PDF format for automatic page extraction
Our advanced OCR engine recognizes and extracts Chinese characters
Experience interactive dual-panel reading with character synchronization
Create projects to organize books by topic, course, or research area
Join thousands of users digitizing and preserving Chinese literature
Organize your Chinese books into projects
Add multiple Gemini CLI accounts to distribute OCR processing load. The system will use these accounts in rotation to avoid API rate limits.
Applies to all your Gemini CLI accounts (unless overridden per-account).
Server default: —
Manage prompt templates for the AI assistant. Create, edit, and set a default prompt.
Test the LLM API integration with various providers and actions. This panel is for development and testing purposes.
Ready to process ?
No active Gemini CLI accounts with remaining quota are configured. Add an account in Settings to enable OCR processing.
Configure summary generation for
Type any language you prefer (e.g., English, Russian, 中文, Español)
Add a Gemini CLI account by logging in with your Google account. No need to install anything or find JSON files — just log in and paste the URL.
Step 1: Open this link in your browser and log in with Google:
Step 2: After logging in, the browser will show an error page (this is expected). Copy the full URL from the address bar and paste it below:
Exchanging tokens, fetching account info...
This may take a few seconds
Account created successfully!
gemini login and choose
Option 1: Login with Google (OAuth login using your Google Account).
Complete the browser flow and return to the terminal.
gemini ask "Hello" or gemini --help and ensure you get a response.
C:\\Users\\<YourUser>\\.gemini\\oauth_creds.json~/.gemini/oauth_creds.jsonoauth_creds.json file using the uploader above.
Note: A Google Cloud Project is required for your Gemini account. In our app we reuse your local Gemini CLI OAuth session — additional API setup here is not needed.