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Anil MauryaSoftware · AI · Automation
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Solution

AI Document Processing

Stop retyping invoices, forms and purchase orders into software.

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Typical timeline
4-8 weeks per document type, including an accuracy benchmark
Includes
10 components
Engagement
Fixed-scope project
You receive
Code, data & documentation
The situation

Documents arrive as PDFs, scans and photographs, and someone reads them and types the contents into your software. It is slow, tedious and error-prone, and typing mistakes in financial data are expensive to find later.

What this solution does

This solution reads your incoming documents, extracts the fields you need, validates them against arithmetic and business rules, and writes the result into your systems. High-confidence documents pass through automatically; uncertain ones go to a review screen that shows the document beside the extracted values.

How it works

  1. Documents arrive

    By email, upload, scanner or a shared folder. Each is logged with its source and queued for processing.

  2. Fields extracted

    An AI model reads the document — regardless of layout — and extracts header fields and line items, with a confidence score per field.

  3. Validated

    Totals are recomputed, tax arithmetic is checked, GSTIN formats are verified, references are matched to your records and duplicates are detected.

  4. Reviewed where uncertain

    Documents above the confidence threshold proceed automatically; the rest appear in a review queue with the document shown beside the extracted values for quick correction.

  5. Written to your systems

    Approved data is posted to your accounting or operational software, with the original document linked to every record for audit.

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Tell us how things work today and we will tell you what this would involve.

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The difference it makes

What changes once this is in place

Data entry time collapses

Staff review exceptions instead of typing every document, which is where the saving actually comes from.

Works with any vendor layout

The model understands what a field means rather than where it sits, so new formats need no configuration.

Errors caught at entry

Validation finds arithmetic and reference problems before they reach your books, not during reconciliation weeks later.

Faster month-end

Paperwork is processed as it arrives rather than accumulating into a closing backlog.

What's included

  • Intake from email, upload, scanner and shared folders
  • Extraction from PDFs, images, scans and photographs, including multi-page
  • Line-item level extraction for invoices, purchase orders and challans
  • Field-level confidence scoring with configurable thresholds
  • Arithmetic, tax and business-rule validation
  • Duplicate document detection
  • Side-by-side review and correction screen
  • Export to Tally, accounting software, Excel or direct API posting
  • Original document archived and linked to each record
  • Dashboard: volume, accuracy, throughput, exceptions

This is a good fit if

  • One or more people spend significant time on data entry from documents
  • You receive documents in many different layouts
  • Month-end is delayed by paperwork still being keyed in
  • Entry errors in amounts or quantities are a recurring problem

Limitations you should know about

Every solution has constraints. We would rather you read them here than discover them after signing.

  • No extraction is perfect; handwriting and poor scans are materially less accurate than clean printed documents
  • Confidence thresholds and human review of uncertain cases are part of the design, not a temporary measure
  • We benchmark accuracy on your actual documents before quoting, because vendor accuracy claims mean little against real paperwork
  • Writing into some legacy software requires file-based import rather than direct API posting, which we confirm during discovery

Technology we typically use

  • Claude API with vision
  • OCR preprocessing
  • Python with FastAPI
  • PostgreSQL
  • Task queues
  • Tally and accounting integrations

Questions

AI Document Processing — common questions

How accurate is it really?
On clean printed invoices, field-level accuracy is typically very high. On faxed photocopies and handwriting it is considerably lower. We will not quote a marketing figure — we run a benchmark on a sample of your real documents and show you measured accuracy per field before you commit.
Does someone still have to check everything?
Not for long. Most clients start by reviewing all documents, watch the measured accuracy, then raise the automatic threshold so only low-confidence cases are reviewed. That transition is where the time saving materialises.
Can it post into Tally?
Yes, usually through Tally's XML interface or an intermediate import file depending on your version and setup. We confirm the method against your specific installation.
What about the original documents?
Each is stored and linked to the record it produced, so an auditor or your accountant can trace any figure back to its source document in one click.

Services behind this solution

Document Intelligence & Data ExtractionTurn invoices, forms and purchase orders into structured data automatically.AI Agent DevelopmentAssistants that complete multi-step work, not just answer questions.AI Business Process AutomationAutomate the processes that defeated rule-based tools.Billing & Invoicing SoftwareGST-compliant invoices in seconds, and payment follow-up that happens on its own.

Industries we serve

Interested in ai document processing?

Tell us how your process works today. We will confirm whether this is the right fit and what it would take.

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