You will get a fully functional document extraction pipeline using OD & OCR
Project details
will build a document extraction pipeline using Object Detection (OD) and Optical Character Recognition (OCR). This system converts unstructured files—such as invoices, receipts, ID cards, and forms—into clean, structured, machine-readable data.
The pipeline covers ingestion, preprocessing (de-skew, noise removal), region detection, OCR, post-processing, validation, and export in your preferred format (CSV, JSON, or database). You’ll get a production-ready solution tailored to your documents.
What you get:
OD + OCR pipeline ready for deployment
Support for multiple doc types
High-accuracy extraction with rules/validation
Scalable setup for small or large volumes
Secure handling of sensitive data (KYC, IDs, finance)
Clean outputs for direct integration
Why choose this service?
Accurate & reliable, tuned for precision/recall
Flexible (Python, PHP, or JS stack)
Scalable from POCs to enterprise workloads
Secure with encryption & PII redaction
Affordable pricing without cutting corners
Perfect for: automating data entry, KYC onboarding, table extraction from PDFs, and cleaning documents for analytics.
The pipeline covers ingestion, preprocessing (de-skew, noise removal), region detection, OCR, post-processing, validation, and export in your preferred format (CSV, JSON, or database). You’ll get a production-ready solution tailored to your documents.
What you get:
OD + OCR pipeline ready for deployment
Support for multiple doc types
High-accuracy extraction with rules/validation
Scalable setup for small or large volumes
Secure handling of sensitive data (KYC, IDs, finance)
Clean outputs for direct integration
Why choose this service?
Accurate & reliable, tuned for precision/recall
Flexible (Python, PHP, or JS stack)
Scalable from POCs to enterprise workloads
Secure with encryption & PII redaction
Affordable pricing without cutting corners
Perfect for: automating data entry, KYC onboarding, table extraction from PDFs, and cleaning documents for analytics.
Programming Languages
PHP, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 2 | 3 | Unlimited |
Number of Pages | 20 | 100 | 500 |
Design Customization | - | - | - |
Content Upload | |||
Responsive Design | - | - | - |
Source Code | - |
Frequently asked questions
About Fakhar Imam
AI Engineer | RAG Chatbots, AI Agents & Document AI Specialist
Gilgit, Pakistan - 2:13 am local time
I am Fakhar, an AI Engineer specializing in RAG Chatbots, Autonomous AI Agents, and Document AI (OCR + Object Detection). I build custom Python-based solutions for healthcare clinics, document-heavy SMBs, and fast-moving startups that need automation they can trust in production.
✅ What I Have Shipped
→ RAG chatbots (GPT-4o + Claude 3.5) — answers grounded in your company data with source citations, zero hallucinations
→ Autonomous AI agents (LangGraph + CrewAI) — qualifying leads, updating CRMs, triggering downstream actions without human intervention
→ Document AI pipelines (YOLOv8 + Tesseract + EasyOCR) — structured extraction from invoices, ID cards, medical forms, and contracts with confidence scoring and validation logic
→ Computer Vision models (YOLOv8, EfficientNetB5) — deployed for KYC, medical imaging, quality control, and inventory detection with 90%+ accuracy on custom datasets
→ End-to-end systems on AWS and GCP — error handling, retry logic, logging, and async processing built in from day one
🔹 RAG Chatbots & Intelligent Assistants
Your team spends hours hunting through PDFs, wikis, and shared drives for answers that should take seconds. I build assistants that read your company data and respond instantly with accurate, cited answers — eliminating repetitive queries and cutting support load significantly.
Tech: LangChain, LlamaIndex, Pinecone, ChromaDB, FAISS, OpenAI, Anthropic Claude, hybrid search, semantic chunking.
Use Cases: Internal knowledge bases, customer support bots, legal and medical research assistants, HR onboarding, documentation Q&A.
🔹 AI Agents & Workflow Automation
Agents that act, not just talk. I engineer multi-step autonomous agents that research, generate reports, qualify leads, update your CRM, and trigger actions across tools — while you focus on higher-value work. Built with guardrails, human-in-the-loop checkpoints, and error recovery.
Tech: LangGraph, CrewAI, MCP, tool calling, structured JSON outputs, REST APIs, webhooks, n8n, Make.
Use Cases: Lead qualification, automated reporting, email triage, multi-tool research agents, CRM and ERP automation.
🔹 Document AI & Extraction Pipelines
Your business is sitting on unstructured data locked in PDFs, scanned forms, and legacy documents. I build OCR pipelines that extract and validate that information — with confidence scoring and clean structured output ready for your database. No manual cleanup required.
Tech: YOLOv8, Tesseract, EasyOCR, LayoutLM, PaddleOCR, OpenCV, custom validation layers.
Use Cases: Invoice automation, KYC verification, medical record digitization, insurance claims, real estate document extraction.
🔹 Computer Vision Solutions
Custom-trained models for medical imaging, quality control, identity verification, and inventory detection. I match the architecture to your dataset and accuracy requirements — so the model performs in your environment, not just on benchmarks.
Tech: OpenCV, PyTorch, TensorFlow, YOLOv8, MobileNetV2, EfficientNetB5.
⚙️ Technical Stack
LLMs & AI: GPT-4o, Claude 3.5 Sonnet, Gemini, Llama 3, Mistral, Hugging Face, fine-tuning, prompt engineering
RAG & Agents: LangChain, LangGraph, LlamaIndex, CrewAI, Pinecone, ChromaDB, FAISS, Weaviate, Qdrant
CV & OCR: YOLOv8, OpenCV, EfficientNet, Tesseract, EasyOCR, LayoutLM, PaddleOCR
Backend: Python, FastAPI, Flask, Docker, AWS, GCP, Redis, Celery
Integrations: HubSpot, Salesforce, Twilio, WhatsApp API, Google Workspace, Zapier, Make, n8n
✅ Why Clients Choose Me
Engineering-first: Every system I deliver includes proper error handling, retry logic, rate-limit management, and deployment-ready packaging — reliable at scale, not just on the demo call.
Direct access: You get me building your system. No account managers, no handoffs, no surprises.
Production mindset: I design for maintainability, data security, and scalability — not quick fixes that create technical debt later.
Have a document workflow to automate, a repetitive operation eating your team's time, or an AI use case to validate? Message me with a brief description. I will tell you within 24 hours whether it is buildable, how I would approach it, and a realistic scope. No sales pitch — just a straight technical answer.
Steps for completing your project
After purchasing the project, send requirements so Fakhar Imam can start the project.
Delivery time starts when Fakhar Imam receives requirements from you.
Fakhar Imam works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & Sample Collection
Provide 30–50 sample docs per type and target fields. We review your docs, list required fields, and note edge cases (languages, stamps, tables, handwriting) to shape scope and accuracy goals.
OD Setup (Layout Detection)
Detect tables, logos, stamps, signatures, form regions etc. Train/tune detectors on your samples; tag regions for OCR and table reconstruction. Produce layout JSON for downstream steps.