AI-Assisted OCR and Data Extraction for Handwritten Records

AI-Assisted OCR and Data Extraction for Handwritten RecordsAI-Assisted OCR and Data Extraction for Handwritten Records

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Adnan Munir

• 2d

🚀 Still Typing Handwritten Forms Into Excel? There’s a Better Way.

A customer fills out a handwritten form. Your employee then has to: Read it → Type it → Check it → Correct mistakes → Save it → Repeat.

Now imagine doing that for hundreds of forms, vouchers, receipts, or handwritten records.

That’s not just data entry. It’s a workflow bottleneck.

🚀 DataEntry AI helps solve this problem. With DataEntry AI by GeoRouteX, businesses can process document-based information through an AI-assisted workflow.

📄 Upload the document 🤖 AI-assisted extraction & OCR 🔍 Review and verify the data 📊 Convert it into structured information 📥 Export for further use

It can be used with: Handwritten forms Vouchers Invoices Receipts PDF documents JPG / PNG files Business records The real benefit?

Your team spends less time retyping information and more time on work that actually needs human attention.

If your business is still manually converting documents into digital records, this may be one of the easiest workflows to automate.

🚀 Want to see how it works with your documents? Adnan Butt Founder @GeoRouteX | Full-Stack & AI Automation Engineer

Obaidur Rana

• Oct 1

📊 Reliable Excel Data Entry & Data Cleaning

Need someone to organize, clean, and manage your Excel data accurately?

I can help with:

✅ Excel Data Entry ✅ Data Cleaning & Formatting ✅ PDF to Excel Data Entry ✅ Spreadsheet Organization ✅ Data Validation & Error Checking ✅ Excel Formulas & Reports ✅ Large Dataset Processing

I pay close attention to accuracy, formatting, and details while completing work within the agreed deadline.

If you have an Excel or data entry project, feel free to contact me.

#DataEntry #MicrosoftExcel #Excel #DataCleaning #Spreadsheet

Iman Imran

• Oct 1

Complete stack RAG driven document intelligence assistant developed using FastAPI and React. Features multi-format ingestion support (PDF, DOCX, and scanned images through EasyOCR), with FAISS vector indexing, and 6 LLM driven modes operating on Groq’s Llama 3.3 70B model. Dockerized application via GitHub actions CI pipeline for automatic linting and build validation with sub-2 second response time in local tests. FAISS is chosen over Pinecone for quick in-memory computation without relying on cloud infrastructure, while Groq is selected over other options for quicker and cheaper inference than GPT-4 alternatives.

Full Stack Development AI Engineer Backend Development Docker LangChain Python

Kapil Chauhan

• Oct 2

How do you persist the FAISS index across Docker restarts?

James Dingle II

• Oct 1

Designed and built an AI operations dashboard that brings projects, decisions, tasks, research, connected tools, and voice interaction into one clear workspace. The goal is to turn complex workflows into a simple, usable system that helps people see what matters and act faster.