DocumentAI-Backend is a lightweight backend framework that automates extraction of text, form fields, and structured data from documents. It offers REST API endpoints for uploading PDFs or images, processes them via Google Document AI with OCR fallback, and returns parsed results in JSON. Built with Python, FastAPI, and Docker, it enables quick integration into existing systems, scalable deployments, and customization through configurable pipelines and middleware.

Specgen is an advanced AI platform designed to streamline and optimize the tender response process. It extracts requirements from PDFs, Word documents, Excel sheets, and PowerPoint files, generating detailed summaries and responses while maintaining total document confidentiality. Specgen facilitates collaborative work by allowing team assignments and validation of responses. The platform includes features like automatic matching of requirements to internal responses, compliance scoring, and bilingual support in English and French. By automating these tasks, Specgen ensures efficiency and accuracy, saving users time and enhancing tender response quality.