You will get PDF & Document Automation API | Email to PDF, DOCX to PDF, Batch Processing
Project details
I build backend APIs that turn messy documents and email archives into clean, reliable PDFs. This project is for teams that need to automate conversions like EML to PDF, DOCX to PDF, HTML to PDF, or batch processing of Google Takeout and archives. You get a tested workflow, stable API endpoints, and integration with storage like S3 or MinIO. I focus on reliability, error handling, and performance so your system works with large files and high volumes, not just small tests.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$129
|
Standard
$249
|
Advanced
$499
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 0 | 0 | 0 |
Design Customization | - | ||
Content Upload | - | ||
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
About Muhammad Noman
Full Stack AI Engineer | Next.js, Node, Python, AI Agents, RAG Systems
Faisalabad, Pakistan - 2:32 am local time
What I usually help clients with
AI features inside existing products
Agents, RAG search, GPT workflows, embeddings, document AI, data extraction, automation pipelines.
Full stack builds and improvements
Next.js, React, Node, Python, secure authentication, dashboards, API design, PostgreSQL, scalable architecture.
Fixing reliability issues
Slow APIs, server errors, broken features, PDF or image processing, caching, indexing, performance tuning.
How I work
• I start by breaking down the requirement into a simple technical plan.
• I ship clean, stable code that is ready for production.
• I communicate clearly and update you often.
• I keep things fast and avoid unnecessary complexity.
• I also work inside AI-assisted engineering workflows using Cursor and Claude for planning, implementation, debugging, testing, and review workflows while maintaining human oversight for architecture, QA, and production safety.
Recent highlights
• Built a hybrid semantic search system using embeddings and vector search for a design platform.
• Engineered a PDF conversion microservice using AWS Lambda and ECS, reducing processing time by about one third.
• Developed backend services handling more than one hundred thousand daily events with high reliability.
• Delivered multiple Next.js front ends directly from Figma with strong performance and secure server actions.
If you want a feature delivered end to end or need a reliable engineer to take ownership of a technical problem, I can help.
Send a short message with what you are trying to build or fix and I will outline the cleanest solution.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Noman can start the project.
Delivery time starts when Muhammad Noman receives requirements from you.
Muhammad Noman works on your project following the steps below.
Revisions may occur after the delivery date.
Review and Design
I review your workflow, file types, and storage setup, then define a clean API and processing pipeline.
Implement Conversion Workflow
I build the conversion logic, integrate your storage (S3/MinIO), add batch or worker processing when needed, and test with your sample files.