Capture
documents arrive by email, upload, scanner, API or mobile photo.
PerfectionGeeks builds AI data entry automation that reads invoices, purchase orders, forms, contracts, IDs and emails, extracts the data, checks it, and enters it into your ERP, CRM, accounting or database, with a person reviewing only the fields the AI isn't sure about.
What Is AI Data Entry Automation?
Signs Your Team Needs It
Manual entry is slow and error-prone, and template-based OCR breaks whenever a document layout changes. AI data entry adapts to any format, learns from corrections, and delivers faster, more accurate results at scale.
| Comparison | Manual data entry | Template-based OCR | AI data entry automation |
|---|---|---|---|
| New or changed layouts | Handled, slowly | Breaks until a new template is built | Handled without new templates |
| Scans, photos, handwriting | Handled | Poor | Good, with confidence scores |
| Free text (emails, notes) | Handled | Not supported | Extracts fields and intent |
| Validation against your data | Manual checks | Basic | Automatic rules and lookups (PO, vendor, GST/VAT number, totals) |
| Scales with volume | Hire more people | Yes, for fixed layouts | Yes |
| Learns from corrections | No | No | Yes |
We automate data entry for invoices, receipts, purchase orders, forms, contracts, emails, and spreadsheets, whether structured or handwritten. Extracted data flows directly into your ERP, CRM, or accounting systems without manual effort.
| Team | Documents and inputs | Data captured | Where it goes |
|---|---|---|---|
| Finance and accounts | Invoices, receipts, bank statements, expense claims | Vendor, GSTIN/VAT number, invoice number, dates, line items, tax, totals | Tally, SAP, Oracle, NetSuite, QuickBooks, Xero, Zoho Books |
| Procurement and orders | Purchase orders, quotes, delivery notes, order emails | Items, quantities, prices, delivery dates, PO numbers | ERP, order management |
| Sales and CRM | Enquiry emails, web forms, business cards, contracts | Contact details, requirements, deal values, renewal dates | Salesforce, HubSpot, Zoho, custom CRM |
| HR | CVs, ID documents, onboarding forms, timesheets | Personal details, skills, ID numbers, hours | HRMS, payroll |
| Logistics | Bills of lading, airway bills, packing lists, proof of delivery | Shipment IDs, consignee, weights, container numbers | TMS, WMS, ERP |
| Healthcare | Patient intake forms, referrals, insurance cards, lab reports | Demographics, insurance IDs, codes, results | EHR, practice management (HIPAA-ready setup) |
| Insurance and banking | Claim forms, KYC documents, loan applications | Policy and claim numbers, identity details, income figures | Core systems, case management |
| Real estate and legal | Leases, agreements, property documents | Parties, dates, amounts, clauses | Document management, CRM |
We measure your current volumes, time per document, error rates and cost, then model the automated version, so you see the business case before any build.
OCR plus AI models that read structured, semi-structured and unstructured documents in English, Hindi and other languages, including scans, photos and handwriting.
AI reads shared inboxes, classifies each email and attachment, extracts the details and creates the right record, such as an order, a ticket or a lead.
Business rules, lookups against your master data and confidence thresholds, with a simple review screen where staff check only the flagged fields.
APIs and connectors that post clean data into your ERP, accounting, CRM or database, or RPA bots where a legacy system has no API.
The most common starting point: invoice capture, three-way matching and posting. See AI invoice automation.
Dashboards for volumes, accuracy and exceptions, and regular retraining from your team's corrections.
Tally Prime, SAP, Oracle, Microsoft Dynamics, NetSuite, QuickBooks, Xero, Zoho Books. See Tally integration and accounting automation.
Outlook and Microsoft 365, Gmail and Google Workspace, SharePoint, Google Drive, scanners, WhatsApp Business, web forms and mobile capture.
SQL Server, PostgreSQL, MySQL, Excel and Google Sheets, AWS S3, Azure Blob.
RPA (UiPath, Power Automate) where there is no API.
From Raw Data to Structured Records, Automatically
documents arrive by email, upload, scanner, API or mobile photo.
AI identifies the document type (invoice, PO, ID, claim) and splits multi-document files.
OCR and AI models read the fields, tables and line items, each with a confidence score.
rules check totals, dates, formats and tax numbers, and match against your vendor, customer and PO records.
fields below the confidence threshold, or failing a rule, go to a person on a simple review screen.
clean data goes into your ERP, CRM or database through an API or RPA bot, with a link back to the source document.
every correction is logged and used to improve accuracy over time.
No AI system is 100% accurate on every document, so we measure accuracy the way your auditors would, and design the workflow so errors are caught before they reach your systems.
| Measure | What it means | How we use it |
|---|---|---|
| Field-level accuracy | Share of extracted fields that are correct | Agreed per document type during the pilot, using your real documents |
| Straight-through processing rate | Share of documents posted with no human touch | Rises over time as the model learns; we report it monthly |
| Exception rate | Share of documents sent for review | Tuned with you: lower thresholds mean less review, higher ones mean fewer errors |
| Turnaround time | Time from document arrival to posting | Tracked against your current manual baseline |
Choose fully automated processing for routine data, or add human review for sensitive or low-confidence entries. You set the rules, confidence thresholds, and approval steps, so the AI works at the level of independence that fits your business.
| Level | How it works | Best for |
|---|---|---|
| Assist | AI pre-fills the fields; a person checks every document | Launch phase, regulated or high-value documents |
| Approve exceptions | AI posts confident documents; people review only flagged ones | Most finance and operations workflows |
| Fully automatic | AI posts everything within agreed rules; samples are audited | High-volume, low-risk documents with stable accuracy |
documents are processed in your chosen cloud region or on your own servers, and are not used to train public AI models.
role-based access, single sign-on and a full audit trail of every extraction, edit and posting.
in transit and at rest; retention and deletion rules you set.
masking of ID numbers, bank details and health information in review screens where needed.
built to support GDPR, India's DPDP Act, HIPAA for healthcare data and PCI DSS where card data appears. We document the controls; your compliance team confirms what applies.
Off-the-shelf document AI tools work well for common documents like standard invoices and receipts. A custom solution makes sense when you have unusual documents, several systems to update, complex validation rules, or strict data-location requirements.
| Comparison | Off-the-shelf IDP tool | Custom solution by PerfectionGeeks |
|---|---|---|
| Setup time | Days to weeks | 4–6 week pilot |
| Document types | Common types, pre-trained | Any, including your own forms |
| Validation rules | Basic | Your business rules and master-data checks |
| Integrations | Popular systems | Any system, including legacy via RPA |
| Pricing | Per page or per document, ongoing | Build cost plus hosting; no per-page fee on your own models |
| Data location | Vendor's cloud | Your cloud or servers |
We begin with a focused pilot on one workflow to test accuracy, speed, and ROI in real conditions. Once results are proven, we scale the solution across more departments and data types, with no disruption to your daily operations.
| Step | What happens | Duration |
|---|---|---|
| 1. Data entry audit | Map document types, volumes, systems, error rates and cost per document | 1 week |
| 2. Pilot design | Pick one high-volume document type, agree accuracy and review targets | 3–5 days |
| 3. Build and train | Extraction, validation rules, review screen and one system integration, tested on your past documents | 3–4 weeks |
| 4. Parallel run | AI and your team process the same documents; we compare results | 1–2 weeks |
| 5. Go live | Switch on, with exceptions routed to reviewers | 1 week |
| 6. Scale | Add document types, inboxes and systems; monthly accuracy reports | Ongoing |
Calculate Your Savings
Cost depends on data volume, document types, integrations, and the level of automation you choose. We start with a free consultation and a clear estimate, so you know exactly what to expect before any development begins.
| Scope | Timeline | Includes |
|---|---|---|
| Pilot (one document type) | 4–6 weeks | Extraction, validation, review screen, one integration |
| Department rollout | 2–4 months | Several document types and inboxes, ERP/CRM integrations, dashboards |
| Enterprise platform | 4–8 months, phased | Multi-department, multi-language, on-premises or private cloud, audit and compliance controls |
prove accuracy on your own documents before you commit to a full rollout.
your team stays in control of anything the AI isn't sure about.
Tally, SAP, Zoho, Salesforce, legacy tools and spreadsheets, not another app to log into.
we'll tell you if an off-the-shelf tool is enough.
your cloud region or your own servers.
12+ years, 200+ projects and a 4.9/5 Clutch rating.
Send us 10–20 sample documents (with sensitive details removed) and your monthly volumes. Within 5 business days we'll show you what can be automated, the expected review rate and a savings estimate.