Paper in, structured data out — invoices, contracts, site records and KYC, without the typing.
What this pack is
OCR and intelligent document processing pipelines that turn the paperwork your business runs on — invoices, bills, contracts, delivery challans, site records, KYC — into validated, structured data inside the systems you already use, with human review exactly where it's needed.
Somewhere in your company, someone is retyping paper into software — invoices into the accounting system, attendance sheets into payroll, agreements into a tracker, KYC documents into onboarding. It's slow, it's error-prone, and it caps how fast the business can grow. We build the pipeline that removes it: documents arrive by scan, photo, email or WhatsApp; OCR and modern document models extract the fields that matter; validation rules catch the GSTIN that doesn't parse and the total that doesn't add up; a review screen routes only the uncertain cases to a human; and clean records land in your ERP, accounting system or database with the original image attached for audit. We've built this discipline into our own products — construction-site records in ProjectSathi are exactly this problem — and the same engineering applies to whatever paper your industry runs on. Measured on the only metric that matters: how many documents flow through untouched.
Who this pack is for — and who it isn't
A good fit if
- Finance teams processing hundreds of vendor invoices and bills a month
- Operations handling delivery challans, site records or inspection paperwork
- Onboarding flows that collect KYC, agreements and signed forms
- Any business paying people to retype paper into software
Probably not for you if
- Volumes under a few dozen documents a month — manual entry is honestly fine
- Documents so unstructured that even a human can't extract fields consistently
- Teams unwilling to keep a human in the loop for the uncertain 5–10%
Quick facts
- Timeline
- 4–8 weeks from kickoff
- Engagement
- Milestone-based
- Scoping
- Discovery-led, around your process
- After delivery
- Ongoing support available
- Built for
- Growing Indian businesses
- Delivered by
- Aryavrut, est. 2025
Your 4–8 weeks, mapped out
Exactly what happens, week by week. No black box.
- 1Week 1·
Discovery
Document samples, field definitions, validation rules, volumes, the system of record it must land in
- 2Weeks 2–3·
Extraction & validation
Extraction tuned on your real documents, validation rules, accuracy measured against a human baseline
- 3Weeks 4–5·
Pipeline & review flow
Capture channels (scan, email, WhatsApp), review queue for exceptions, integration into your ERP/accounting
- 4Final week·
Parallel run & handover
Run alongside manual entry, compare, tune thresholds, train the review team, hand over
What's included (week-by-week)
- 01Discovery on your real documents and volumes
- 02Extraction tuned and measured against a human baseline
- 03Validation rules for the errors that actually occur (GSTIN, totals, dates)
- 04Human-review queue for the uncertain cases only
- 05Integration into your ERP, accounting or database
- 06Capture by scan, photo, email or WhatsApp
- 07Audit trail with originals attached to every record
What you provide
- A representative sample of real documents (the messy ones too)
- The validation rules your team applies today, even if informal
- Access to the system the clean data should land in
What you walk away with at week 6
Concrete artifacts you can point to. No vague "transformation" — actual stuff that runs in production.
- A pipeline in production: capture → extraction → validation → your system of record
- Straight-through rate measured and reported — most documents touched by no one
- Review queue for exceptions, with originals attached for audit
- Processing time per document cut from minutes to seconds
Why teams pick this pack over the alternatives
Honest comparison. We name the alternatives and tell you when they're the better choice.
vs. Generic OCR tools
Why pick Generic OCR tools
Cheap, instant text extraction
Why pick this pack
Text isn't data — we deliver validated fields inside your ERP or accounting system, not a text dump.
vs. Outsourced data-entry teams
Why pick Outsourced data-entry teams
No software project at all
Why pick this pack
Seconds instead of days, an audit trail on every field, and a cost that doesn't scale with volume.
vs. Enterprise IDP suites
Why pick Enterprise IDP suites
Deep feature sets, vendor support
Why pick this pack
A pipeline shaped to your documents and systems at a fraction of the licence weight — and you own it.
Document Processing — questions we get a lot
How is a Document Processing engagement structured?
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It's a defined scope delivered in 4–8 weeks, scoped around your process in a discovery call. The engagement is milestone-based, and the full scope is confirmed in your proposal. Request a proposal to get the specifics for your situation.
How long does Document Processing take?
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4–8 weeks from project kickoff. Timelines are calendar weeks and we share the week-by-week breakdown on this page.
What's included in Document Processing?
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Discovery on your real documents and volumes; Extraction tuned and measured against a human baseline; Validation rules for the errors that actually occur (GSTIN, totals, dates); Human-review queue for the uncertain cases only; Integration into your ERP, accounting or database; Capture by scan, photo, email or WhatsApp; Audit trail with originals attached to every record
What happens after Document Processing is delivered?
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You own the full source, infrastructure, and documentation. Ongoing support — bug fixes, security patches, and minor enhancements — is available after launch, with terms confirmed in your proposal.
What does the customer need to provide?
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A representative sample of real documents (the messy ones too); The validation rules your team applies today, even if informal; Access to the system the clean data should land in
Tech stack
Production-grade, modern, well-documented stack. No exotic frameworks no one else can maintain. You can hire any competent engineer to extend this code.
Common add-ons
Most clients pick 0–2 of these. We'll suggest only what you actually need on the discovery call, and scope them into your proposal.
Additional document types
Each new type gets its own extraction and validation tuning
Searchable document archive
Every processed original, full-text searchable with retention rules
Ask-your-documents AI
Natural-language answers over the processed archive — see AI Engine
Looking for something else?
Web Development
The platforms that run your business — CRM, HRMS, ERP, portals and the site that represents you.
App Development
iOS and Android apps taken from spec to the app stores — and kept alive after.
AI Engine
AI that ships inside your product and measurably moves a number — not a strategy deck.
Document Processing — from our blog
Integrating AI into Business Applications: A Practical Guide for Indian SMBs (2026)
How Indian businesses can add real, measurable AI features to their software — chatbots, document processing, predictive analytics, personalization — without a vague, expensive 'AI strategy'.
Employee Onboarding Best Practices for Indian Companies (2026)
A structured employee onboarding playbook for Indian SMBs — pre-boarding paperwork, statutory setup (PF, ESI, bank, PAN), the first 30-60-90 days, and how an HRMS makes it repeatable.
Essential Tools for Remote Team Collaboration in India (2026)
A practical remote-work toolkit for Indian teams — communication, project management, document collaboration, and whiteboards — with tips on integrating them into one workflow instead of tool sprawl.
Start Document Processing.
Paper in, structured data out — invoices, contracts, site records and KYC, without the typing. Delivered in 4–8 weeks, scoped around your process. Send a few details and we'll confirm whether this pack fits — we reply within 1 business day.
Request a proposal — Document Processing
Tell us what you need — we reply within 1 business day.
Ready to start?
We reply within 1 business day. We'll either confirm the pack fits, or tell you honestly that it doesn't.