Coopen / Automation / Data entry automation
Automate data entry — let software do the typing your team hates.
If your people spend hours copy-pasting between systems or re-keying data from PDFs and emails, you are paying premium rates for work software does in seconds. We build automation that reads, checks and moves your data on its own.
Data, marketing & small business
Typing is expensive — and where mistakes hide
Manual data entry is slow, boring and the single biggest source of silent errors: a transposed number, a wrong field, a record entered twice. Those mistakes surface later as wrong invoices, bad reports and lost trust.
Any time a person is reading information from one screen and typing it into another, that task can be automated — reliably, at scale, and the same way every time.
The cost is also worse than the hourly math suggests, because data entry is usually done by people whose actual job is something else. The hours come out of sales, out of service, out of the work that grows the business.
What we automate
What we automate
From messy inputs to clean records in your systems, with no keyboard in between.
- Document extraction — AI/OCR pulls fields from PDFs, invoices, forms and scans.
- Email & inbox parsing — Structured data extracted from incoming emails and attachments.
- Validation — Automatic checks for format, missing fields and duplicates before anything is saved.
- System sync — Records pushed into your CRM, ERP, database or spreadsheets.
- Deduplication — Matching and merging so you stop building duplicate records.
- Scheduled runs — Batch or real-time — data moves on a schedule or the moment it arrives.
Accuracy
Why automated entry ends up more accurate than careful people
The instinct is that a careful person is more accurate than software. For a single record that is often true. Across ten thousand records it is not, because human accuracy degrades with fatigue, interruption and time pressure, while software does not.
The real advantage is not raw reading accuracy though — it is validation. Software checks every record against rules before saving: does this total add up, does this ID exist, is this date possible, have we seen this record before. A person doing entry at speed checks almost none of that.
And where the software is genuinely unsure, it says so. Low-confidence fields go to a person with the source document on screen, which takes seconds and is a far better use of attention than typing the ninety-five percent that were obvious.
Cleaning up the backlog as well as the flow
Two different problems usually arrive together: the daily inflow that needs automating, and the pile of historical records that were entered badly over the years — duplicated customers, inconsistent formats, fields used for the wrong thing.
We handle both. A one-off cleanup pass normalises and deduplicates what already exists; the ongoing automation then keeps it clean by validating at the point of entry. Doing only the second leaves you with a tidy stream flowing into a messy lake.
Results
What changes
Back every week
Your team reviews exceptions instead of typing everything.
Fewer costly mistakes
Software does not fat-finger a number at 5pm on a Friday.
Faster turnaround
Data is where it needs to be as soon as it lands.
FAQ
Data entry automation FAQ
What data sources can you handle?
PDFs, scanned documents, emails, web forms, spreadsheets and APIs. If a person can read it and type it, we can usually automate it.
How accurate is it?
Modern AI/OCR is highly accurate, and we add validation rules plus human review for low-confidence cases — so accuracy is typically better than manual entry, not worse.
What systems does it connect to?
CRMs, ERPs, databases, Google Sheets/Excel and most tools with an API. We build around what you already use.
What if the target system has no API?
We can still automate it at the interface level with RPA — a bot enters the data the way a person would. It is not our first choice, but it means legacy systems are not a blocker.
Is this a one-off or ongoing?
Both. We can clean up a backlog once, or set up automation that runs continuously as new data arrives — and the two work well together.
How much does it cost?
We scope it against the hours it saves. A focused data-entry automation usually pays for itself within the first stretch of use.
More automation
Related services
Ready to cut this cost?
Tell us the repetitive work slowing your team down. We'll show you what it costs — and what to automate first.