I will extract data from invoices, receipts and scans with ai ocr


About this gig
Hours lost retyping invoices, receipts, forms and scanned contracts? That is exactly what this pipeline removes.
MS Data Science, IBM Data Science Professional. I build document AI extraction pipelines in Python using a multi-engine OCR ensemble - PaddleOCR, Tesseract and EasyOCR cross-checking each other - that convert scans and PDFs into clean Excel, CSV, JSON or database records.
Privacy is built in: everything runs on your own server or an offline machine - no third-party OCR clouds, I keep no copies, NDA on request.
What you get:
- Multi-engine OCR ensemble tuned to your document type
- Structured output: Excel, CSV, JSON, or direct database write
- Field-level extraction - invoice numbers, totals, dates, IDs, names, line items
- Privacy-first deployment on your own infrastructure
- Documentation + a recorded setup walkthrough
Proof: a privacy-first OCR system I built (PaddleOCR + Tesseract + EasyOCR + FAISS) processed 300+ documents fully offline.
Stack: Python, PaddleOCR, Tesseract, EasyOCR, Claude Code.
Place your order - attach a sample in the requirements form and I will confirm scope. Prefer a check first? Message me a redacted sample.
Get to know Nisar Khan
AI Agent Chatbot and App Developer MS Data Science IBM Certified
- FromPakistan
- Member sinceDec 2022
- Avg. response time1 hour
Languages
Urdu, Pashto, English
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FAQ
What documents can it handle?
Invoices, receipts, forms, ID cards, contracts, bank statements, scanned archives — printed or handwritten where scan quality allows. Send a sample and I'll confirm what's extractable.
How accurate is OCR really?
A single engine lands ~90–95% on clean scans; the multi-engine ensemble raises that on noisy documents by cross-checking. I calibrate on your real samples first and flag low-confidence fields rather than guess silently — and if scan quality is the limit, I tell you upfront.
Will my documents go to a third-party service?
No — the pipeline runs locally on your machine, server, or a Docker container you control. Nothing leaves unless you request cloud deployment. NDA available.
Can it handle tables and line items?
Yes — table and line-item extraction from Standard up, delivered as structured rows with field-level mapping.
Does it work with my document management or accounting system?
Yes - output lands where you work: Excel/CSV for accounting tools like QuickBooks or Xero, JSON for developers, or direct PostgreSQL/SQL writes. It can watch a folder as input, and the Premium API lets any system pull extractions automatically. Share your setup and I'll confirm the path.
Non-English documents?
PaddleOCR supports 80+ languages; non-English layouts may need a short tuning pass (available as an add-on per language).
Ongoing support?
Yes — a monthly Care Plan (~$269) covers new document types, accuracy tuning, and a set number of support hours.
You have no reviews yet — why trust you with sensitive documents?
Fair question - and it's why this pipeline runs entirely on your own system. Credentials are publicly verifiable (MS Data Science; IBM Data Science Professional); the Basic tier is a low-risk single-document-type pilot; Fiverr's resolution centre protects your order.
Response speed, data residency and ownership?
I reply within a few hours (overlapping UK/EU mornings and US-East afternoons, async via Fiverr). GDPR-compatible by design — documents never leave your environment; written data-handling note on request; you own all code and output on delivery; NDA available.
Can I search or chat with the extracted documents afterwards?
Yes — once they're structured and indexed, my AI chatbot gig lets your team ask questions of them in plain English.

