Data EntryAutomation
Stop paying skilled staff to retype information from one screen into another; capture it once, validate it, and write it to the right system.
Data Entry Automation: what the work involves
In many offices someone spends the morning reading orders from email, forms from WhatsApp or scanned sheets, and keying each into an ERP, a CRM or a spreadsheet. It is slow, and the errors are the worst kind: a transposed digit that surfaces three weeks later as a wrong delivery or a failed payment. Staff turnover resets the training, and nobody wants this job.
DevKey maps the path your data travels today and replaces the keying with a pipeline. Inputs are collected from inboxes, folders or forms, read by extraction models, and checked against rules such as required fields, lookup lists and format patterns. Clean records are written through the target system's API. Anything doubtful is shown to an operator next to the source image with the uncertain field highlighted, so a person fixes one cell instead of retyping a page.
Core features
Multi-source capture
Email attachments, shared folders, web forms and chat uploads feed one intake queue, each item tagged with where it came from.
Field extraction with confidence
Every value gets a score, which decides whether it moves ahead automatically or waits for an operator.
Rule-based validation
Lookups against your master data, format checks and cross-field logic catch impossible values before they reach the system of record.
Side-by-side review screen
Operators see the original document next to the extracted fields and correct only what is flagged, using keyboard shortcuts for speed.
API write-back
Approved records are posted to your ERP, CRM or database through its interface, with retries and a clear log if a write fails.
Throughput reporting
A dashboard shows volume, share of records auto-accepted and the fields people correct most, pointing to where tuning pays off.
What we get right before launch
Process before automation
If the manual process has unclear rules, automating it just makes the confusion faster. We spend the first days documenting what operators actually decide and turning those decisions into written rules.
Handwriting and poor scans
Handwritten forms and faint photocopies have much higher error rates. We test on your real samples, say which document types stay semi-manual, and suggest cleaner capture at the source.
Accountability for what gets posted
A bad record auto-posted into finance or inventory costs more than a slow one. Value thresholds, sampling checks and an audit log decide where human approval remains mandatory.
Tools and technology
- Python
- FastAPI
- OpenAI GPT
- Google Document AI
- Tesseract OCR
- PostgreSQL
- n8n
- React
- Docker
Common questions, answered
How much typing will actually be removed?
It varies by document quality and variety. Tidy, repeated layouts see the biggest reduction, while handwriting stays mostly manual. We measure on a sample of your real files before estimating the effect on your team.
Can it enter data into software without an API?
Sometimes, using import templates, database access or screen-level robotic process automation. Those routes are more brittle than a proper API, so we flag the maintenance trade-off before choosing one.
What about Urdu or mixed-language documents?
Printed Urdu and English can be read with tuned OCR and a model. Mixed handwritten text is weak. We confirm per document type during a pilot and keep a manual path for the rest.
Do we keep our staff for review?
Yes. The role shifts from typing to checking exceptions and fixing source problems. Most teams use the time saved on follow-up work that previously never got done.
More AI Agents & Automation services
All AI Agents & Automation servicesAI Document Processing
Turn piles of PDFs, scans and photographed forms into structured data in your system, with a review screen for anything the software is unsure about.
Spreadsheet Automation
Take the macro nobody dares touch and the weekly merge-and-clean routine, and rebuild them as monitored, documented automations.
Invoice Processing Automation
Supplier invoices arrive, get read, matched to orders and queued for approval without anyone retyping line items into the accounting system.
Ready to start your Data Entry Automation project?
Tell us what you need and we will come back with a clear scope, timeline and the questions worth answering before any build starts.