Invoices and purchase records
Capture agreed fields and line items, check required values and flag mismatches. Keep approvals and payment decisions with your existing financial controls.
Intelligent document processing · India
AI Document Processing Services. From documentsto useful data.
Turn PDFs, invoices and forms into structured information. Extract the right fields, validate the results and send uncertain cases to your team.
Talk directly to the builders. No long form.
- Fields traced back to their source
- Validation before downstream use
- Human review for uncertain results
SELECTED CLIENT WORK
From the team behind
real shipped products.
ProofitProperty servicesShapotoolsBusiness workflowsOproProject operations
Mumbai-based.
Working with teams worldwide.
01 / The business case
Data entry should not be your bottleneck.
A number in a JSON file is not useful if it is the wrong number. Good document automation includes source traceability, business checks and a place to resolve exceptions—especially when layouts, scan quality and missing information vary.
THE FRICTION TODAY
More effort than it should take.
- Rekeying information from PDFs
- Finding mistakes after data has moved on
- Different document layouts breaking the process
WHAT WE BUILD TOWARDS
A clear path to the next step.
- Structured fields with source references
- Checks and a review queue before export
- A workflow evaluated on your actual formats
02 / What the solution could look like
Repeated documents. A clear definition of correct.
Best for repeated document types with a clear schema and people available to review exceptions.
AGREE SUCCESS BEFORE BUILDINGField-level quality, correction time and processing cost
A poor fit for a promise of perfect extraction from every scan. Handwriting, mixed layouts and low-quality images need separate evaluation.
Find your starting point
Your next business workflowEXAMPLEInvoice_042.pdfSource fields identified
EXTRACTION + VALIDATIONInvoice number · Date · Total
Source reference attached
Review required before export
THE NEXT STEPValidated fields ready for review
Illustrative experience, not a live product. Explore the examples above.
SELECTED WORK / Shapotools03 / Related structured-workflow work, not an OCR benchmark
Structured logic behind a better offer process.
Related workflow work: Shapotools turns workbook-based configuration and pricing into a guided offer process. It demonstrates our approach to business rules and structured outputs. Document extraction is evaluated separately against your own sample set.
Read the Shapotools case study04 / A focused implementation
From sample set to a reviewable workflow.
Forms and onboarding packs
Organise submitted information, check completeness and identify records that need clarification. Restrict access to personal information according to the agreed workflow.
Operational PDFs and reports
Turn repeat document types into structured records that your team can search, review and export. Evaluate unusual layouts separately rather than assuming all PDFs behave alike.
YOUR FIRST STEP, NOT A BIG COMMITMENT
Start with one
useful change.
Not sure where to begin? Choose your focus and get a short starting checklist. No email required.
Already have a task in mind? Tell us what happens today and what you want to improve.
Talk it through with usYOUR NEXT MOVE, MADE CLEAR↘
Document automation starter plan
A useful starting point. No guesswork.
A pilot checklist with data requirements and review checkpoints. Choose your focus for a useful starting checklist, or speak directly to the builders:
- Define a consistent output schema for one document family.
- Choose one repeated document type and list the exact fields you need.
- Keep uncertain results in a human review queue before they reach another system.
01 / Choose your focus → 02 / Get your starting plan
05 / From starting plan to scoped project
One document type. The right fields. A useful first pilot.
You bring the business problem. We’ll talk through:
- The fields and formats that matter
- Validation and review requirements
- A pilot scope and evaluation approach
A conversation, not a commitment.
Prefer to call? +91 88503 13109 We’ll discuss fit and scope before quoting a build. No detailed specification needed.
KNOW WHAT YOU’RE SAYING YES TOSmall scope first.
Small scope first.
Clear costs before you commit.
Document volume, page count, layout variation, fields, review needs and integrations drive the estimate. We distinguish one-time implementation from recurring processing and hosting costs.
- Bring to the conversation
- Document types, approximate volume and required fields. No confidential files needed to enquire.
- Before a paid build
- Agree deliverables, dependencies, acceptance checks, timing and an estimate. Recurring tool and model costs are considered separately.
The instant checklist is free. Custom implementation is quoted after scope review.
06 / If we decide to work together
Start focused.
Expand on evidence.
- 01
Define the dataset
Agree representative, appropriately redacted samples and the fields that matter.
- 02
Test the hard cases
Evaluate missing values, unclear scans and layout variations before choosing the workflow.
- 03
Pilot with reviewers
Measure field-level quality, correction time and exception rates before increasing volume.
What’s included, what affects cost, and when we’re a good fit
Proposed build scope
- An agreed document set, field schema and acceptance criteria
- Extraction suited to your layouts and scan quality
- Validation rules, duplicate checks and source references
- An exception queue with a human correction path
- Approved exports or integration with your chosen system
Cost & timing
Document volume, page count, layout variation, fields, review needs and integrations drive the estimate. We distinguish one-time implementation from recurring processing and hosting costs.
Is it a fit?
Best for repeated document types with a clear schema and people available to review exceptions.
A poor fit for a promise of perfect extraction from every scan. Handwriting, mixed layouts and low-quality images need separate evaluation.
What accuracy can you guarantee?
No single accuracy figure is meaningful before testing your documents. We agree field-level acceptance criteria on a representative sample, report exceptions and keep human review where the consequences of an error matter.
Can this process scanned PDFs and images?
We can evaluate them. OCR quality depends on resolution, layout, language and legibility. Handwritten fields or damaged scans may require a different approach or manual review.
Do I need to upload confidential documents to enquire?
No. Describe the document type, volume and required fields. Do not send confidential records through this enquiry form. Sample exchange, access controls and data-processing arrangements are agreed separately.
Can extracted data go into our ERP or CRM?
Subject to available APIs and permissions, that can be part of the scope. A controlled export may be a better first step if the destination system has limited integration support.
How do we know whether automation is worthwhile?
Compare the existing handling time and error correction effort with pilot results, including review time and recurring costs. We recommend starting with a repeated document type that has enough volume to make the comparison useful.
From documentsto useful data.
Discuss document AIOne conversation. A clearer next step.