EVOTECH digital · custom software · Automation & Scripts

Data Entry Automation

Stop re-keying the same data between systems, forms, and spreadsheets — automate the capture, validation, and transfer so it happens once, accurately.

5.0· 14 Google reviews

Kill the copy-paste tax

Manually moving data between a form and a CRM, an email and a spreadsheet, or a PDF and an ERP is slow and quietly error-prone — a transposed number here, a skipped row there. Those mistakes ripple into billing, reporting, and decisions.

We automate the transfer so data is captured once and flows to where it needs to be, with validation catching the errors a tired human would miss at 4 p.m.

  • Move data automatically between systems, forms, and spreadsheets
  • Extract fields from PDFs, emails, and documents (OCR where needed)
  • Validate and normalize on the way in — dates, formats, required fields
  • Deduplicate so the same record doesn't land twice
  • Flag anything ambiguous for a human instead of guessing

Accuracy is the whole point

Automating data entry only helps if the output is trustworthy. A fast pipeline that inserts wrong values is worse than the manual process it replaced, so validation and exception handling matter more here than almost anywhere.

We build checks that reject or quarantine bad data, and we keep a record of what moved where — without logging sensitive values where they don't belong.

  • Field-level validation rules matched to each destination system
  • An exception queue for records that fail a check, so nothing's forced through
  • Matching logic to update existing records instead of creating duplicates
  • A run log of what was processed and what was flagged
  • Careful handling of any sensitive or personal data in the pipeline

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Frequently asked questions

Our data comes in as PDFs and scanned forms — can you still automate it?

Usually yes. Structured PDFs and clean forms extract reliably; messy scans need OCR and more validation, and accuracy varies with quality. We're honest about the confidence level for your specific documents and design a human review step for the cases the system isn't sure about.

How do you make sure the automation doesn't enter wrong data?

Validation and exception handling. We define rules for what a valid record looks like, reject or quarantine anything that fails, and route ambiguous cases to a person. The goal is fewer errors than manual entry, not blind speed — a pipeline that inserts garbage isn't a win.

Will it work with the specific systems we use?

That depends on whether your source and destination systems offer an API, an import format, or at least a consistent export. Most common business tools do. Tell us the systems involved and we'll confirm what's possible before scoping anything.

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