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K Kashif Ullah
← All services Data Extraction: OCR, PDF & Vision Pipelines

Turn messy documents into clean, structured data

Production-grade extraction pipelines for invoices, receipts, IDs, forms, contracts, and scanned archives — built on Tesseract OCR, LangChain, and multimodal LLMs.

Who this is for

Operations and back-office teams that move paper or PDFs all day. Accountants reconciling invoices, lenders verifying statements, healthcare admins processing forms, legal teams indexing contracts. If your team is hand-keying values from documents, this is the project that buys them their afternoons back.

How I work

I start by asking for 10–20 real documents from your archive. We define the schema together — the exact fields and types you want — and I build a pipeline tuned to your formats, not a generic OCR tool. Then I iterate on accuracy until you’re happy with the held-out test results.

What you get

  • A FastAPI service with a clean upload endpoint and a typed JSON response.
  • A small admin UI to review and correct low-confidence fields.
  • Documentation on how to extend the schema as your needs grow.
  • 30 days of post-launch tuning support included.

Frequently asked questions

What documents can you handle? +

Invoices, receipts, purchase orders, bank statements, tax forms, scanned contracts, IDs/passports (where legally permitted), handwritten forms (with caveats), and mixed-language documents including Urdu and Arabic scripts.

How accurate is the extraction? +

It depends on the source quality, but for typed business documents we typically reach 95%+ field-level accuracy after one round of tuning. The pipeline always emits a per-field confidence score so your team can review low-confidence values.

Can I run this on-premise / air-gapped? +

Yes. The OCR stage runs entirely on-prem with Tesseract. If you don't want any data going to a cloud LLM, I can wire the normalization stage to a local model (Llama, Qwen, or similar) running on your hardware.

What if the document format changes? +

Because the pipeline is schema-driven, adding fields or supporting a new document type is usually a one-day change, not a rewrite.

Ready to start?

A 30-minute scoping call is the fastest way to find out if we're a fit.

Book a call →