AI-powered platform that converts scanned PDFs into verified, editable documents
A production-ready AI document processing platform that converts scanned and image-based PDFs into verified, structured, editable documents. The system combines page-level PDF rendering, OCR, Gemini-based extraction and verification, and automated DOCX generation. Unlike basic OCR tools, it processes documents page-by-page, verifies extracted content, tracks processing state, and supports failed-page retries and resumable jobs. Key capabilities Scanned PDF to editable DOCX conversion AI-powered extraction and verification Page-by-page processing for large documents Resumable jobs and failed-page retries Multilingual document processing Source-faithful document output Real-time processing progress via Server-Sent Events User accounts and job isolation Admin dashboard for users, jobs, disk usage, and queue health SQLite-backed job queue with restart recovery Webhook notifications when jobs complete or fail Docker deployment with Nginx and HTTPS/Certbot Optional AI-generated teaching slide decks and export artifacts Technology Python, Flask, Gemini API, OCR, Poppler, PyMuPDF, SQLite, Docker, Nginx, Certbot, Server-Sent Events, and DOCX generation. The architecture is suitable for document digitization, publishing, education, research, archives, enterprise document workflows, and specialized OCR/document-processing services. The project can be continued as a standalone SaaS, integrated into an existing product, or adapted for a specific document-processing market.
Project details
Built with:Python,HTML,PowerShell,Dockerfile,Batchfile
Next step: <p>The existing codebase provides a foundation for building a commercial document-processing product.</p><p>A buyer could turn it into a SaaS for automated document digitization, offer an API for scanned-document processing, integrate it into an existing publishing or enterprise workflow, or specialize the pipeline for a particular industry.</p><p>Potential improvements include cloud storage, multi-tenant infrastructure, usage-based billing, payment integration, distributed processing, cloud deployment, stronger document-format support, and a customer-facing API.</p>
For sale
Asking price: $1,300 USD
What's included
Source code, All related data, All related design work
Includes the existing application codebase, deployment configuration, Docker setup, database/job-queue implementation, processing pipeline, automated tests, documentation, and supporting configuration files. The buyer can continue development, deploy the existing system, or adapt the document-processing pipeline for another use case.
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