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AI & Automation • Shatam Solution

OCR & Intelligent Document Processing

Turn scanned paper into structured, checkable data.

Scanned documents are where operational data goes to hide. We build OCR and intelligent document processing pipelines that read the document, pull out the fields that matter, check them against your records, and hand a human only the cases that genuinely need judgement.

Capabilities

What it does

Document classification

Identify what each incoming file actually is before trying to read it — invoice, POD, form, identity document.

Field-level extraction

Pull specific values (dates, amounts, reference numbers, names) rather than dumping raw text.

Table and line-item capture

Extract structured line items from invoices and statements, not just header fields.

Validation against your data

Cross-check extracted values against master data and flag mismatches instead of accepting them silently.

Confidence scoring and review queues

Low-confidence extractions are routed to a person; high-confidence ones flow straight through.

Handwriting and poor-scan handling

Realistic assessment up front of what your actual document quality will support — before you commit to a rollout.

Good Fit

Where this is usually applied

Invoice and bill processingProof-of-delivery and logistics paperworkApplication and enrolment formsKYC and identity document checks
FAQ

OCR & Intelligent Document Processing — frequently asked questions

How accurate is OCR on our documents?

It depends entirely on your document quality and layout consistency, and anyone quoting a single accuracy figure before seeing your files is guessing. We run a sample of your real documents first and report what accuracy is actually achievable.

Can it read handwritten documents?

Printed text is reliable. Handwriting varies enormously — structured handwritten fields in boxes work far better than free-form writing. This is decided on your sample set, not assumed.

What happens when it gets something wrong?

Confidence scoring routes uncertain extractions to a human review queue. The goal is not zero human involvement, it is removing the 80–90% that never needed a person.

Where is the document data processed?

Deployment location is decided during scoping, including on-premise processing where documents cannot leave your infrastructure.

More Solutions

Other Shatam solutions

Let's Talk

Thinking about OCR & Intelligent Document Processing?

Tell us what the current process looks like and we will come back with a scoped approach and a written quotation.

Email: shatam@shatam.com  |  WhatsApp: +91 95611 87575