Description
โจ Key Features
- AI Chat with PDFs: interact conversationally with any uploaded document to extract facts, data, or summaries.
- Multi-Model Integration: supports OpenAI GPT-4, Anthropic Claude, and other LLMs for varied responses.
- Document Embeddings: stores vectorized representations of documents for precise semantic retrieval.
- Multi-File Upload: upload and query multiple PDFs or DOCX files in a single chat session.
- Context Memory: AI retains conversation context and reference chains for deeper discussions.
- Summarization Engine: automatically generate summaries, key points, and tables of content.
- Text & Table Extraction: parse structured data and export it to CSV or JSON.
- RAG (Retrieval-Augmented Generation): combines search retrieval with LLMs for factual and document-grounded answers.
- Multi-User SaaS System: user registration, subscription plans, API usage limits, and credits system.
- Admin Dashboard: monitor users, uploads, and model usage with cost-tracking and analytics.
- Cloud Storage: S3 or local storage options for secure document hosting.
- Authentication & Security: JWT, 2FA, and file encryption for data protection.
- Multi-Language Support: query and respond in over 20 languages, including English, German, and Arabic.
- Custom Prompts & Templates: reusable instruction sets for specialized domains (e.g. law, medicine, finance).
- Responsive UI: built with modern frameworks for mobile and desktop compatibility.
โ๏ธ Technical Stack
- Backend: PHP 8.2+ with Laravel (v10) for SaaS logic and authentication.
- AI Engine: Python (FastAPI/Flask) microservice integrating LangChain & OpenAI API.
- Frontend: React (Next.js) or Vue.js with Tailwind CSS for UI and chat interface.
- Database: MySQL or PostgreSQL for user and session data.
- Vector Storage: FAISS, Pinecone, or Qdrant for embedding retrieval.
- Storage: AWS S3, DigitalOcean Spaces, or local storage for uploaded files.
- Server Requirements: PHP 8.2+, Python 3.10+, Composer, Node.js 18+, and HTTPS/SSL enabled.
- Optional: Redis for queues, Supervisor for workers, and Docker for containerized deployment.
Technical insight: ChatPDF uses a hybrid Laravel + Python architecture, with RESTful APIs and WebSocket channels for real-time chat updates and context persistence.
๐งฉ Installation Guide (Quick Start)
- Server Preparation: install PHP 8.2+, Python 3.10+, MySQL, Composer, and Node.js on your VPS.
- Upload Source Files: deploy Laravel and Python components to your web root or separate subdomains.
- Database Setup: create MySQL/PostgreSQL database and configure credentials in
.env. - Dependencies: run
composer installandnpm install && npm run buildfor Laravel;pip install -r requirements.txtfor Python service. - Initialize System: execute
php artisan key:generateandphp artisan migrate --seed. - Connect APIs: add your OpenAI, Anthropic, and vector storage API keys in the
.envfile. - Run Services: start Laravel server and Python backend, then access the web interface to register users and upload documents.
Tip: Use Docker Compose for combined deployment and scalability across multiple instances.
๐ฆ Deliverables
- Full Laravel backend source code for user & subscription management.
- Python AI microservice for document embeddings and chat processing.
- Frontend source code (React/Vue) for chat interface and admin panel.
- SQL migrations and API documentation.
- GPL license file and example
.envconfiguration.
๐ฑ Supported Platforms
- Web App: accessible via any modern browser (Chrome, Firefox, Safari, Edge).
- Server OS: compatible with Linux (Ubuntu/CentOS), macOS, or Windows Server.
- Mobile: responsive and PWA-compatible design for smartphones and tablets.
๐ง Notes
- License: distributed under the GNU General Public License (GPL).
- Customization Tips: add branding, fine-tune prompt engineering, or integrate additional models (Gemini, Mistral, etc.).
- SEO Optimization: structured meta data, schema markup, and fast-loading single-page design for high Google indexing scores.
- Security: enable HTTPS, sanitize uploads, enforce API rate limits, and comply with data privacy laws (GDPR, CCPA).
๐จโ๐ป Original Developer Credit
Developed by the original author and published commercially on
CodeCanyon.
All rights, trademarks, and design assets remain the property of the upstream developer.
๐ Disclaimer
GPL Redistribution Notice: This release of ChatPDF โ Chat with Your Documents using AI SaaS is provided under the GNU General Public License.
It is distributed for educational, developmental, and self-hosted use.
We are not affiliated with or endorsed by the original vendor.
No official support, updates, or warranties are provided.
For commercial licensing and continuous updates, please purchase the original version from the official marketplace listing.

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